484010658 03 01 01 JB code JB John Benjamins Publishing Company 01 JB code SLCS 150 Hb 15 9789027259158 06 10.1075/slcs.150 13 2013047822 00 BB 08 860 gr 10 01 JB code SLCS 02 0165-7763 02 150.00 01 02 Studies in Language Companion Series Studies in Language Companion Series 01 01 Language Processing and Grammars The role of functionally oriented computational models Language Processing and Grammars: The role of functionally oriented computational models 1 B01 01 JB code 36166595 Brian Nolan Nolan, Brian Brian Nolan Institute of Technology Blanchardstown Dublin 07 https://benjamins.com/catalog/persons/36166595 2 B01 01 JB code 704166594 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual Universidad Politécnica de Valencia 07 https://benjamins.com/catalog/persons/704166594 01 eng 11 402 03 03 vi 03 00 396 03 01 23 006.3/5 03 2014 P98 04 Natural language processing (Computer science) 04 Functionalism (Linguistics) 04 Generative grammar. 04 Computational linguistics. 10 LAN009000 12 CFX 24 JB code LIN.COMPUT Computational & corpus linguistics 24 JB code LIN.FUNCT Functional linguistics 24 JB code LIN.SEMAN Semantics 24 JB code LIN.SYNTAX Syntax 24 JB code TERM.TERM Terminology 01 06 02 00 This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda. 03 00 There is a growing awareness of the significance and value that modelling using information technology can bring to the functionally oriented linguistic enterprise. This encompasses a spectrum of areas as diverse as concept modelling, language processing and grammar modelling, conversational agents, and the visualisation of complex linguistic information in a functional linguistic perspective. This edited volume offers a collection of papers dealing with different aspects of computational modelling of language and grammars, within a functional perspective at both the theoretical and application levels. As a result, this volume represents the first instance of contemporary functionally oriented computational treatments of a variety of important language and linguistic issues. This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda. 01 00 03 01 01 D503 https://benjamins.com/covers/475/slcs.150.png 01 01 D502 https://benjamins.com/covers/475_jpg/9789027259158.jpg 01 01 D504 https://benjamins.com/covers/475_tif/9789027259158.tif 01 01 D503 https://benjamins.com/covers/1200_front/slcs.150.hb.png 01 01 D503 https://benjamins.com/covers/125/slcs.150.png 02 00 03 01 01 D503 https://benjamins.com/covers/1200_back/slcs.150.hb.png 03 00 03 01 01 D503 https://benjamins.com/covers/3d_web/slcs.150.hb.png 01 01 JB code slcs.150.01per 06 10.1075/slcs.150.01per 1 12 12 Article 1 01 04 Introduction Introduction 1 A01 01 JB code 88207009 Brian Nolan Nolan, Brian Brian Nolan 07 https://benjamins.com/catalog/persons/88207009 2 A01 01 JB code 315207010 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual 07 https://benjamins.com/catalog/persons/315207010 01 eng 01 01 JB code slcs.150.02may 06 10.1075/slcs.150.02may 13 38 26 Article 2 01 04 From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets 1 A01 01 JB code 740207011 Thomas Mayer Mayer, Thomas Thomas Mayer Philips University Marburg 07 https://benjamins.com/catalog/persons/740207011 2 A01 01 JB code 794207012 Bernhard Wälchli Wälchli, Bernhard Bernhard Wälchli Stockholm University 07 https://benjamins.com/catalog/persons/794207012 3 A01 01 JB code 111207013 Christian Rohrdantz Rohrdantz, Christian Christian Rohrdantz University of Konstanz 07 https://benjamins.com/catalog/persons/111207013 4 A01 01 JB code 138207014 Michael Hund Hund, Michael Michael Hund University of Konstanz 07 https://benjamins.com/catalog/persons/138207014 01 eng 30 00 The aim of this paper is twofold. First, we show that functionally motivated procedural approaches may help to automatically extract typological features from texts. This idea is illustrated with measuring cross-linguistic variation in the domain of morphological typology based on parallel texts. Second, we demonstrate that the methodology developed in the field of visual analytics allows for detecting patterns or regularities in the automatically extracted features. At the heart of our approach lies an extended sunburst visualization, which enables a cross-comparison of a large number of features within the context of language genealogy and areal information. We provide evidence of the usefulness of the present approach with case studies where the visualizations of the extracted features reveal interesting insights. 01 01 JB code slcs.150.03leo 06 10.1075/slcs.150.03leo 39 78 40 Article 3 01 04 Lexical-syntactic analysis model of Spanish multi-word expressions Lexical-syntactic analysis model of Spanish multi-word expressions 1 A01 01 JB code 423207015 Jorge Antonio Leoni de León Leoni de León, Jorge Antonio Jorge Antonio Leoni de León University of Costa Rica 07 https://benjamins.com/catalog/persons/423207015 01 eng 30 00 In this article we analyze the lexical status and the syntactic phenomena of multi-word expressions. We propose a typology of phraseological units based on our findings and we describe a formal system, called Tsool, which preserves these characteristics and allows their collection and identification (even after complex operations). Tsool was implemented in a prototype called Mulkin. 01 01 JB code slcs.150.04got 06 10.1075/slcs.150.04got 79 104 26 Article 4 01 04 Three-place predicates in RRG Three-place predicates in RRG 01 04 A computational approach A computational approach 1 A01 01 JB code 274207016 Judith Gottschalk Gottschalk, Judith Judith Gottschalk Aalborg University, Denmark 07 https://benjamins.com/catalog/persons/274207016 01 eng 30 00 This book chapter presents a computational linguistics analysis of Role and Reference Grammar [RRG] (cf. Van Valin 2005). RRG, formulated as a pseudo-code program is not executable on a random access machine since the linking algorithm cannot account for variable undergoer linking in English three-place predicates. Consequently RRG is not computationally adequate. Therefore a new approach to RRG is developed using Nolan’s (2011) constructional schemas; the RRG semantics-to-syntax linking algorithm is revised, using the lexicon, information structure and constructional schemas to account for variable undergoer linking. A revised approach to the mental lexicon based on Gottschalk (2010) is developed, accounting for three-place predicates. In this approach macroroles are epiphenomenal and replaced by thematic relations to develop a computable account to RRG. 01 01 JB code slcs.150.05die 06 10.1075/slcs.150.05die 105 142 38 Article 5 01 04 A Role and Reference Grammar parser cfor German A Role and Reference Grammar parser 
for German 1 A01 01 JB code 750207017 Elke Diedrichsen Diedrichsen, Elke Elke Diedrichsen Google EU HQ Dublin 07 https://benjamins.com/catalog/persons/750207017 01 eng 30 00 This paper describes the development of a sentence parser for German based on Role and Reference Grammar (RRG). German has a number of characteristics which are very challenging to a computational approach to syntactic processing that is semantically motivated. These include the German sentence structure, which is organised as a “bracket structure”, in which one component of the predicate, mostly the finite verb, is realised in an early position in the sentence and therefore forms the “left bracket”, whereas the more meaningful part of the predicate, mostly the infinite predicate, appears at the end of the sentence and forms the “right bracket”. Inside these brackets, the main information of the sentence is placed in an order that reflects information structure, i.e. the given information precedes the new information inside the bracket. The bracket structure has recurrent formal elements. It therefore provides a formal structuring principle for sentences that is particular for German and serves functions for sentence processing, information structure and turn taking. German has a three-way gender system for nouns. Gender is marked on the article. Tense is marked on the verb. There is an aspectual system in the realisation of perfect in that telic verbs select sein in the perfect, while atelic verbs select haben. The software is developed using Java and will accept an input sentence in German from the user through a Java Swing graphical user interface. The software parses an input sentence into its respective tokens using the Java native string processing capability. Each token is checked against the respective German lexicons (noun, verb, etc.) to determine its lexical category. The morphological markings of the tokens are unpacked for their feature sets. These features are recorded for each token. The lexical entry for the verb is determined and its logical structure is retrieved from the lexicon. The result of the parse displays the populated RRG logical structure and its operators, i.e. tense, aspect etc. A trace of the application of the linking system, in mapping from syntactic clause to semantic representation, is presented. 01 01 JB code slcs.150.06nol 06 10.1075/slcs.150.06nol 143 164 22 Article 6 01 04 Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents 1 A01 01 JB code 70207018 Brian Nolan Nolan, Brian Brian Nolan Institute of Technology Blanchardstown Dublin 07 https://benjamins.com/catalog/persons/70207018 01 eng 30 00 This paper advances a model of conversational agents in a computational framework that builds on the notion of speech act performatives from discourse within a functional model of grammar. We describe the language specific elements of the intelligent conversational agents paradigm and how it can be usefully employed in the modelling of human language in software through use of agent-embedded speech acts. The linguistic model employed is Role and Reference Grammar (RRG). We propose a view in which a conversational agent has ‘internal’ and ‘external’ models to support the speech acts. The internal model of the agent is concerned with the internal state of the agent, based upon the intersection at any given time on the agent’s internal beliefs, desires, and intentions, known as BDI states. The external model of the agent is composed of an interaction model with its world (human and other agent). Importantly, the conversational agent also has a language model in software that is related to its interaction model to support bi-directional communication in human language through speech acts. For this, we employ the RRG model to motivate the design of the language model and use the RRG bi-directional linking system. We present a framework that connects the intelligent conversational agents paradigm to the RRG model of language. This has significance in that it has potential for use with linguistically oriented ontological semantics modelling and as a framework for testing of hypotheses on languages to support claims of adequacy within a functional approach. It also extends the breadth of computational work within RRG. 01 01 JB code slcs.150.07per 06 10.1075/slcs.150.07per 165 196 32 Article 7 01 04 The implementation of the CLS constructor in ARTEMIS The implementation of the CLS constructor in ARTEMIS 1 A01 01 JB code 350207019 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual Universidad Politécnica de Valencia 07 https://benjamins.com/catalog/persons/350207019 2 A01 01 JB code 422207020 Francisco Arcas-Túnez Arcas-Túnez, Francisco Francisco Arcas-Túnez Universidad Católica San Antonio 07 https://benjamins.com/catalog/persons/422207020 01 eng 30 00 Most natural language processing researchers highlight the benefits of interlingua-based systems in multilingual settings. In this scenario, Role and Reference Grammar can contribute to build a cross-language semantic representation of the input text in terms of its logical structure. Our goal is to describe the various stages in the development of one of the first computational systems which employs a lexico-conceptual knowledge base to generate the logical structure of sentences. Our approach actually involved some changes in the standard functional model in order to convert the logical structure into an ontology-grounded representation of sentential meaning. In fact, we demonstrate that constructional schemata should become the cornerstone of the syntax-semantics interface in this computerized model of Role and Reference Grammar. 01 01 JB code slcs.150.08oyo 06 10.1075/slcs.150.08oyo 197 232 36 Article 8 01 04 FrameNet and FunGramKB FrameNet and FunGramKB 01 04 A comparison of two computational resources for semantic knowledge representation A comparison of two computational resources for semantic knowledge representation 1 A01 01 JB code 843207021 Alba Luzondo Oyón Luzondo Oyón, Alba Alba Luzondo Oyón Universidad de La Rioja 07 https://benjamins.com/catalog/persons/843207021 2 A01 01 JB code 471207022 Rocío Jiménez Briones Jiménez Briones, Rocío Rocío Jiménez Briones Universidad Autónoma de Madrid 07 https://benjamins.com/catalog/persons/471207022 01 eng 30 00 This chapter presents a comparison between FunGramKB, a multipurpose lexico-conceptual base for Natural Language Processing (NLP) systems, and FrameNet, a lexical resource for English whose objective is to document the range of semantic and syntactic combinatory possibilities of each sense of a word. After providing the reader with an overview of the two resources under scrutiny, we address their similarities and differences by focusing on the following issues: (1) methodology; (2) information at the lexical and conceptual levels; (3) relations between frames and concepts; (4) information management; and (5) multilingualism. To illustrate this comparison, we analyze how the verb dry is represented in each project. 01 01 JB code slcs.150.09gar 06 10.1075/slcs.150.09gar 233 250 18 Article 9 01 04 Exploring the thematic-frame mapping cin FunGramKB Exploring the thematic-frame mapping 
in FunGramKB 1 A01 01 JB code 669207023 Fátima Guerra García Guerra García, Fátima Fátima Guerra García Instituto de Lingüística Andrés Bello 07 https://benjamins.com/catalog/persons/669207023 2 A01 01 JB code 877207024 Elena Sacramento Lechado Sacramento Lechado, Elena Elena Sacramento Lechado Universidad de La Laguna 07 https://benjamins.com/catalog/persons/877207024 01 eng 30 00 FunGramKB (Functional Grammar Knowledge Base; Periñán and Arcas 2010a, 2010b; Periñán and Mairal 2010b) has three levels of knowledge representation (i.e. lexical, conceptual and grammatical). Conceptual modelling takes place within the Ontology, whereas the implementation of both the semantic and the constructional information of lexical units belongs to the lexical level. Both processes are designed to be completely independent within the knowledge base. Nevertheless, concept encoding and representation at the level of deep semantics and the semantic definitions of the predicates belonging to the lexicons of different languages are clearly intertwined. The objective of this paper is to analyse how the interaction of deep and shallow semantics takes place within this full-fledged knowledge base. 01 01 JB code slcs.150.10fel 06 10.1075/slcs.150.10fel 251 270 20 Article 10 01 04 FunGramKB term extractor FunGramKB term extractor 01 04 A tool for building terminological ontologies cfrom specialised corpora A tool for building terminological ontologies 
from specialised corpora 1 A01 01 JB code 406207025 Ángel Felices-Lago Felices-Lago, Ángel Ángel Felices-Lago Universidad de Granada 07 https://benjamins.com/catalog/persons/406207025 2 A01 01 JB code 734207026 Pedro Ureña Gómez-Moreno Gómez-Moreno, Pedro Ureña Pedro Ureña Gómez-Moreno Universidad de Granada 07 https://benjamins.com/catalog/persons/734207026 01 eng 30 00 Ontological engineering is a relatively young discipline that has nevertheless received considerable attention because of its great potential for application in a number of areas, including Machine Translation, Artificial Intelligence and the Semantic Web. A major field of research of the ontological endeavour concerns the building of specialised ontologies, i.e. concept hierarchies which formalise knowledge from expert areas of human activity such as medicine or law. This chapter focuses on the methodological aspects of the construction of specialised taxonomies in the framework of the FunGramKB knowledge base and in doing so it illustrates the FunGramKB Term Extractor, an innovative corpus-based tool for the semi-automatic extraction of terms. 01 01 JB code slcs.150.11mar 06 10.1075/slcs.150.11mar 271 296 26 Article 11 01 04 Deep semantic representation cin a domain-specific ontology Deep semantic representation 
in a domain-specific ontology 01 04 Linking EcoLexicon to FunGramKB Linking EcoLexicon to FunGramKB 1 A01 01 JB code 920207027 Antonio San Martín San Martín, Antonio Antonio San Martín Universidad de Granada 07 https://benjamins.com/catalog/persons/920207027 2 A01 01 JB code 818207028 Pamela Faber Faber, Pamela Pamela Faber Universidad de Granada 07 https://benjamins.com/catalog/persons/818207028 01 eng 30 00 EcoLexicon is a frame-based visual thesaurus on the Environment that is gradually evolving towards the status of a formal ontology. For this purpose, the information in its relational database is in the process of being linked to the ontological system of FunGramKB, a multipurpose knowledge base. This enables the explicitation of specialized knowledge as an extension of general knowledge through its representation in the domain-specific satellite ontology of a main general ontology. This paper describes the linking process and more specifically, how the general concepts in FunGramKB can be extended and reused in deep semantic representations in a domain-specific ontology. 01 01 JB code slcs.150.12san 06 10.1075/slcs.150.12san 297 312 16 Article 12 01 04 A functional and constructional approach for specialized knowledge resources A functional and constructional approach for specialized knowledge resources 1 A01 01 JB code 142207029 Beatriz Sánchez Cárdenas Sánchez Cárdenas, Beatriz Beatriz Sánchez Cárdenas University of Granada 07 https://benjamins.com/catalog/persons/142207029 2 A01 01 JB code 314207030 Pamela Faber Faber, Pamela Pamela Faber University of Granada 07 https://benjamins.com/catalog/persons/314207030 01 eng 30 00 This paper describes how verbs are represented in EcoLexicon (ecolexicon.ugr.es), a specialized knowledge resource in environmental science. Based on the hypothesis that human cognition organizes concepts in semantic categories (Tranel et al. 2001; H. Damasio et al. 2004), verbs are conceptually structured in lexical domains (Mingorance 1985, 1900, 1995; Faber & Mairal 1999). These domains are based on the premises of the Lexical Grammar Model (Faber & Mairal 1999). Once the members of a lexical domain are specified, the conceptual structure of the domain is mapped out. Semantic categories are thus organized in a tangled hierarchy. The semantic relation of troponymy (Fellbaum 1990; Miller & Fellbaum 1991) determines the hierarchical structure of verbal lexical domains. The third step consists in the design of a lexical template based on the principles of the Lexical Constructional Model (Ruiz de Mendoza & Mairal 2008, Mairal & Ruiz de Mendoza 2009). Each lexical template consists of the following: (a) an Aktionsart module according to Role and Reference Grammar (Van Valin 1993, 2005, Van Valin & LaPolla 1997) in which the actantial structure of verbs is established; (b) a semantic module that specifies the thematic relations (Van Valin 2005), macroroles and types of noun selected by each verb. The French and English verbs of movement in the field of Volcanology are analyzed as an illustration of this method. 01 01 JB code slcs.150.13mon 06 10.1075/slcs.150.13mon 313 338 26 Article 13 01 04 Applying the lexical constructional model to ontology building Applying the lexical constructional model to ontology building 1 A01 01 JB code 734207031 Elena Montiel-Ponsoda Montiel-Ponsoda, Elena Elena Montiel-Ponsoda Universidad Politécnica de Madrid 07 https://benjamins.com/catalog/persons/734207031 2 A01 01 JB code 800207032 Guadalupe Aguado-de-Cea Aguado-de-Cea, Guadalupe Guadalupe Aguado-de-Cea Universidad Politécnica de Madrid 07 https://benjamins.com/catalog/persons/800207032 01 eng 30 00 Knowledge acquisition strategies based on lexico-syntactic patterns have shown to significantly contribute to the automatic identification of concepts and relations from texts, but have not investigated how to represent that information in ontologies. Since this is one of the most critical steps in ontology building, we propose to establish a correspondence between lexico-syntactic patterns, specifically verbal patterns representing taxonomic and meronymic relations, and their corresponding ontological structures represented by Ontology Design Patterns. In this way, the transformation of linguistic expressions into ontological structures could be automated and it would support domain experts in the development of ontologies. In order to reliably establish this correspondence, we need to dissect the meaning of predicates. For this aim, we rely on the Lexical Constructional Model, as a comprehensive theory of meaning construction. In this contribution we demonstrate how such a model permits to identify the ontological structure(s) that better capture the meaning of predicates in an ontological resource. 01 01 JB code slcs.150.14gar 06 10.1075/slcs.150.14gar 339 366 28 Article 14 01 04 The interaction of non-linguistic cand linguistic knowledge in FunGramKB The interaction of non-linguistic 
and linguistic knowledge in FunGramKB 1 A01 01 JB code 652207033 Fátima Guerra García Guerra García, Fátima Fátima Guerra García Universidad de La Laguna 07 https://benjamins.com/catalog/persons/652207033 01 eng 30 00 This chapter investigates how the non-linguistic knowledge stored in the conceptual level of FunGramKB interacts with the idiosyncratic linguistic knowledge stored in the other two levels, i.e. the lexical and the grammatical levels. It will be argued that the pivotal module of this knowledge base, the Ontology, and the conceptual information stored for the concepts building its taxonomy may be a good source to predict certain aspects of the different lexicalization patterns of the lexical units that lexicalize those concepts and the constructions in which they are subsumed. Consequently, the nature of this work is that of a cross-level analysis. At the same time, this work also analyzes how a verb-framed language like Spanish and a satellite-framed language like English draw different information from the same conceptual base. 01 01 JB code slcs.150.15iba 06 10.1075/slcs.150.15iba 367 390 24 Article 15 01 04 Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB 1 A01 01 JB code 631207034 Francisco José Ruiz de Mendoza Ibáñez Ruiz de Mendoza Ibáñez, Francisco José Francisco José Ruiz de Mendoza Ibáñez University of La Rioja 07 https://benjamins.com/catalog/persons/631207034 01 eng 30 00 This paper investigates the notion of low-level situational cognitive model, its role in linguistic description and its possible computational treatment in the knowledge base FunGramKB. Low-level situational models are exploited metonymically to produce situation-based implicatures. When such inferences become stably associated with a formal pattern, they give rise to implicational constructions. Other kinds of construction make use of different kinds of cognitive model. For example, argument-structure constructions are based on high-level non-situational cognitive models. The paper then provides a typology of low-level situational cognitive models, which can be roughly equated with Schank and Abelson’s now classical notion of script. Schank and Abelson’s classification into situational, personal and instrumental scripts is revised and refined to make it include a further division into simple, complex and composite scripts. Simple scripts capture sequences of actions, while complex scripts consist of chained sequences of subscripts and composite scripts are combinations of independent subscripts. Since scripts are cases of procedural knowledge, which is included in the so-called cognicon of FunGramKB, the paper explores the incorporation of this typology into the architecture of this part of the knowledge base. This incorporation is argued to endow the cognicon with greater descriptive parsimony, which results in a more efficient computational implementation. Finally, the paper uses the FunGramKB representation metalanguage COREL as an adequate way of supplying precise descriptions in terms of event structure variables and their sequencing, which turns out to be useful to enhance descriptive adequacy in the linguistic model itself. 01 01 JB code slcs.150.16ind 06 10.1075/slcs.150.16ind 391 396 6 Miscellaneous 16 01 04 Index Index 01 eng 01 JB code JBENJAMINS John Benjamins Publishing Company 01 01 JB code JB John Benjamins Publishing Company 01 https://benjamins.com 02 https://benjamins.com/catalog/slcs.150 Amsterdam NL 00 John Benjamins Publishing Company Marketing Department / Karin Plijnaar, Pieter Lamers onix@benjamins.nl 04 01 00 20140401 C 2014 John Benjamins Publishing Company D 2014 John Benjamins Publishing Company 02 WORLD WORLD US CA MX 09 01 JB 1 John Benjamins Publishing Company +31 20 6304747 +31 20 6739773 bookorder@benjamins.nl 01 https://benjamins.com 21 48 14 01 00 Unqualified price 02 JB 1 02 99.00 EUR 02 00 Unqualified price 02 83.00 01 Z 0 GBP GB US CA MX 01 01 JB 2 John Benjamins Publishing Company +1 800 562-5666 +1 703 661-1501 benjamins@presswarehouse.com 01 https://benjamins.com 21 48 14 01 00 Unqualified price 02 JB 1 02 149.00 USD 602010659 03 01 01 JB code JB John Benjamins Publishing Company 01 JB code SLCS 150 Eb 15 9789027270641 06 10.1075/slcs.150 00 EA E107 10 01 JB code SLCS 02 0165-7763 02 150.00 01 02 Studies in Language Companion Series Studies in Language Companion Series 11 01 JB code jbe-all 01 02 Full EBA collection (ca. 4,200 titles) 11 01 JB code jbe-2015-all 01 02 Complete backlist (3,208 titles, 1967–2015) 05 02 Complete backlist (1967–2015) 11 01 JB code jbe-2015-linguistics 01 02 Subject collection: Linguistics (2,773 titles, 1967–2015) 05 02 Linguistics (1967–2015) 11 01 JB code jbe-2015-slcs 01 02 Studies in Language Companion Series (vols. 1–171, 1978–2015) 05 02 SLCS (vols. 1–171, 1978–2015) 01 01 Language Processing and Grammars The role of functionally oriented computational models Language Processing and Grammars: The role of functionally oriented computational models 1 B01 01 JB code 36166595 Brian Nolan Nolan, Brian Brian Nolan Institute of Technology Blanchardstown Dublin 07 https://benjamins.com/catalog/persons/36166595 2 B01 01 JB code 704166594 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual Universidad Politécnica de Valencia 07 https://benjamins.com/catalog/persons/704166594 01 eng 11 402 03 03 vi 03 00 396 03 01 23 006.3/5 03 2014 P98 04 Natural language processing (Computer science) 04 Functionalism (Linguistics) 04 Generative grammar. 04 Computational linguistics. 10 LAN009000 12 CFX 24 JB code LIN.COMPUT Computational & corpus linguistics 24 JB code LIN.FUNCT Functional linguistics 24 JB code LIN.SEMAN Semantics 24 JB code LIN.SYNTAX Syntax 24 JB code TERM.TERM Terminology 01 06 02 00 This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda. 03 00 There is a growing awareness of the significance and value that modelling using information technology can bring to the functionally oriented linguistic enterprise. This encompasses a spectrum of areas as diverse as concept modelling, language processing and grammar modelling, conversational agents, and the visualisation of complex linguistic information in a functional linguistic perspective. This edited volume offers a collection of papers dealing with different aspects of computational modelling of language and grammars, within a functional perspective at both the theoretical and application levels. As a result, this volume represents the first instance of contemporary functionally oriented computational treatments of a variety of important language and linguistic issues. This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda. 01 00 03 01 01 D503 https://benjamins.com/covers/475/slcs.150.png 01 01 D502 https://benjamins.com/covers/475_jpg/9789027259158.jpg 01 01 D504 https://benjamins.com/covers/475_tif/9789027259158.tif 01 01 D503 https://benjamins.com/covers/1200_front/slcs.150.hb.png 01 01 D503 https://benjamins.com/covers/125/slcs.150.png 02 00 03 01 01 D503 https://benjamins.com/covers/1200_back/slcs.150.hb.png 03 00 03 01 01 D503 https://benjamins.com/covers/3d_web/slcs.150.hb.png 01 01 JB code slcs.150.01per 06 10.1075/slcs.150.01per 1 12 12 Article 1 01 04 Introduction Introduction 1 A01 01 JB code 88207009 Brian Nolan Nolan, Brian Brian Nolan 07 https://benjamins.com/catalog/persons/88207009 2 A01 01 JB code 315207010 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual 07 https://benjamins.com/catalog/persons/315207010 01 eng 01 01 JB code slcs.150.02may 06 10.1075/slcs.150.02may 13 38 26 Article 2 01 04 From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets 1 A01 01 JB code 740207011 Thomas Mayer Mayer, Thomas Thomas Mayer Philips University Marburg 07 https://benjamins.com/catalog/persons/740207011 2 A01 01 JB code 794207012 Bernhard Wälchli Wälchli, Bernhard Bernhard Wälchli Stockholm University 07 https://benjamins.com/catalog/persons/794207012 3 A01 01 JB code 111207013 Christian Rohrdantz Rohrdantz, Christian Christian Rohrdantz University of Konstanz 07 https://benjamins.com/catalog/persons/111207013 4 A01 01 JB code 138207014 Michael Hund Hund, Michael Michael Hund University of Konstanz 07 https://benjamins.com/catalog/persons/138207014 01 eng 30 00 The aim of this paper is twofold. First, we show that functionally motivated procedural approaches may help to automatically extract typological features from texts. This idea is illustrated with measuring cross-linguistic variation in the domain of morphological typology based on parallel texts. Second, we demonstrate that the methodology developed in the field of visual analytics allows for detecting patterns or regularities in the automatically extracted features. At the heart of our approach lies an extended sunburst visualization, which enables a cross-comparison of a large number of features within the context of language genealogy and areal information. We provide evidence of the usefulness of the present approach with case studies where the visualizations of the extracted features reveal interesting insights. 01 01 JB code slcs.150.03leo 06 10.1075/slcs.150.03leo 39 78 40 Article 3 01 04 Lexical-syntactic analysis model of Spanish multi-word expressions Lexical-syntactic analysis model of Spanish multi-word expressions 1 A01 01 JB code 423207015 Jorge Antonio Leoni de León Leoni de León, Jorge Antonio Jorge Antonio Leoni de León University of Costa Rica 07 https://benjamins.com/catalog/persons/423207015 01 eng 30 00 In this article we analyze the lexical status and the syntactic phenomena of multi-word expressions. We propose a typology of phraseological units based on our findings and we describe a formal system, called Tsool, which preserves these characteristics and allows their collection and identification (even after complex operations). Tsool was implemented in a prototype called Mulkin. 01 01 JB code slcs.150.04got 06 10.1075/slcs.150.04got 79 104 26 Article 4 01 04 Three-place predicates in RRG Three-place predicates in RRG 01 04 A computational approach A computational approach 1 A01 01 JB code 274207016 Judith Gottschalk Gottschalk, Judith Judith Gottschalk Aalborg University, Denmark 07 https://benjamins.com/catalog/persons/274207016 01 eng 30 00 This book chapter presents a computational linguistics analysis of Role and Reference Grammar [RRG] (cf. Van Valin 2005). RRG, formulated as a pseudo-code program is not executable on a random access machine since the linking algorithm cannot account for variable undergoer linking in English three-place predicates. Consequently RRG is not computationally adequate. Therefore a new approach to RRG is developed using Nolan’s (2011) constructional schemas; the RRG semantics-to-syntax linking algorithm is revised, using the lexicon, information structure and constructional schemas to account for variable undergoer linking. A revised approach to the mental lexicon based on Gottschalk (2010) is developed, accounting for three-place predicates. In this approach macroroles are epiphenomenal and replaced by thematic relations to develop a computable account to RRG. 01 01 JB code slcs.150.05die 06 10.1075/slcs.150.05die 105 142 38 Article 5 01 04 A Role and Reference Grammar parser cfor German A Role and Reference Grammar parser 
for German 1 A01 01 JB code 750207017 Elke Diedrichsen Diedrichsen, Elke Elke Diedrichsen Google EU HQ Dublin 07 https://benjamins.com/catalog/persons/750207017 01 eng 30 00 This paper describes the development of a sentence parser for German based on Role and Reference Grammar (RRG). German has a number of characteristics which are very challenging to a computational approach to syntactic processing that is semantically motivated. These include the German sentence structure, which is organised as a “bracket structure”, in which one component of the predicate, mostly the finite verb, is realised in an early position in the sentence and therefore forms the “left bracket”, whereas the more meaningful part of the predicate, mostly the infinite predicate, appears at the end of the sentence and forms the “right bracket”. Inside these brackets, the main information of the sentence is placed in an order that reflects information structure, i.e. the given information precedes the new information inside the bracket. The bracket structure has recurrent formal elements. It therefore provides a formal structuring principle for sentences that is particular for German and serves functions for sentence processing, information structure and turn taking. German has a three-way gender system for nouns. Gender is marked on the article. Tense is marked on the verb. There is an aspectual system in the realisation of perfect in that telic verbs select sein in the perfect, while atelic verbs select haben. The software is developed using Java and will accept an input sentence in German from the user through a Java Swing graphical user interface. The software parses an input sentence into its respective tokens using the Java native string processing capability. Each token is checked against the respective German lexicons (noun, verb, etc.) to determine its lexical category. The morphological markings of the tokens are unpacked for their feature sets. These features are recorded for each token. The lexical entry for the verb is determined and its logical structure is retrieved from the lexicon. The result of the parse displays the populated RRG logical structure and its operators, i.e. tense, aspect etc. A trace of the application of the linking system, in mapping from syntactic clause to semantic representation, is presented. 01 01 JB code slcs.150.06nol 06 10.1075/slcs.150.06nol 143 164 22 Article 6 01 04 Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents 1 A01 01 JB code 70207018 Brian Nolan Nolan, Brian Brian Nolan Institute of Technology Blanchardstown Dublin 07 https://benjamins.com/catalog/persons/70207018 01 eng 30 00 This paper advances a model of conversational agents in a computational framework that builds on the notion of speech act performatives from discourse within a functional model of grammar. We describe the language specific elements of the intelligent conversational agents paradigm and how it can be usefully employed in the modelling of human language in software through use of agent-embedded speech acts. The linguistic model employed is Role and Reference Grammar (RRG). We propose a view in which a conversational agent has ‘internal’ and ‘external’ models to support the speech acts. The internal model of the agent is concerned with the internal state of the agent, based upon the intersection at any given time on the agent’s internal beliefs, desires, and intentions, known as BDI states. The external model of the agent is composed of an interaction model with its world (human and other agent). Importantly, the conversational agent also has a language model in software that is related to its interaction model to support bi-directional communication in human language through speech acts. For this, we employ the RRG model to motivate the design of the language model and use the RRG bi-directional linking system. We present a framework that connects the intelligent conversational agents paradigm to the RRG model of language. This has significance in that it has potential for use with linguistically oriented ontological semantics modelling and as a framework for testing of hypotheses on languages to support claims of adequacy within a functional approach. It also extends the breadth of computational work within RRG. 01 01 JB code slcs.150.07per 06 10.1075/slcs.150.07per 165 196 32 Article 7 01 04 The implementation of the CLS constructor in ARTEMIS The implementation of the CLS constructor in ARTEMIS 1 A01 01 JB code 350207019 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual Universidad Politécnica de Valencia 07 https://benjamins.com/catalog/persons/350207019 2 A01 01 JB code 422207020 Francisco Arcas-Túnez Arcas-Túnez, Francisco Francisco Arcas-Túnez Universidad Católica San Antonio 07 https://benjamins.com/catalog/persons/422207020 01 eng 30 00 Most natural language processing researchers highlight the benefits of interlingua-based systems in multilingual settings. In this scenario, Role and Reference Grammar can contribute to build a cross-language semantic representation of the input text in terms of its logical structure. Our goal is to describe the various stages in the development of one of the first computational systems which employs a lexico-conceptual knowledge base to generate the logical structure of sentences. Our approach actually involved some changes in the standard functional model in order to convert the logical structure into an ontology-grounded representation of sentential meaning. In fact, we demonstrate that constructional schemata should become the cornerstone of the syntax-semantics interface in this computerized model of Role and Reference Grammar. 01 01 JB code slcs.150.08oyo 06 10.1075/slcs.150.08oyo 197 232 36 Article 8 01 04 FrameNet and FunGramKB FrameNet and FunGramKB 01 04 A comparison of two computational resources for semantic knowledge representation A comparison of two computational resources for semantic knowledge representation 1 A01 01 JB code 843207021 Alba Luzondo Oyón Luzondo Oyón, Alba Alba Luzondo Oyón Universidad de La Rioja 07 https://benjamins.com/catalog/persons/843207021 2 A01 01 JB code 471207022 Rocío Jiménez Briones Jiménez Briones, Rocío Rocío Jiménez Briones Universidad Autónoma de Madrid 07 https://benjamins.com/catalog/persons/471207022 01 eng 30 00 This chapter presents a comparison between FunGramKB, a multipurpose lexico-conceptual base for Natural Language Processing (NLP) systems, and FrameNet, a lexical resource for English whose objective is to document the range of semantic and syntactic combinatory possibilities of each sense of a word. After providing the reader with an overview of the two resources under scrutiny, we address their similarities and differences by focusing on the following issues: (1) methodology; (2) information at the lexical and conceptual levels; (3) relations between frames and concepts; (4) information management; and (5) multilingualism. To illustrate this comparison, we analyze how the verb dry is represented in each project. 01 01 JB code slcs.150.09gar 06 10.1075/slcs.150.09gar 233 250 18 Article 9 01 04 Exploring the thematic-frame mapping cin FunGramKB Exploring the thematic-frame mapping 
in FunGramKB 1 A01 01 JB code 669207023 Fátima Guerra García Guerra García, Fátima Fátima Guerra García Instituto de Lingüística Andrés Bello 07 https://benjamins.com/catalog/persons/669207023 2 A01 01 JB code 877207024 Elena Sacramento Lechado Sacramento Lechado, Elena Elena Sacramento Lechado Universidad de La Laguna 07 https://benjamins.com/catalog/persons/877207024 01 eng 30 00 FunGramKB (Functional Grammar Knowledge Base; Periñán and Arcas 2010a, 2010b; Periñán and Mairal 2010b) has three levels of knowledge representation (i.e. lexical, conceptual and grammatical). Conceptual modelling takes place within the Ontology, whereas the implementation of both the semantic and the constructional information of lexical units belongs to the lexical level. Both processes are designed to be completely independent within the knowledge base. Nevertheless, concept encoding and representation at the level of deep semantics and the semantic definitions of the predicates belonging to the lexicons of different languages are clearly intertwined. The objective of this paper is to analyse how the interaction of deep and shallow semantics takes place within this full-fledged knowledge base. 01 01 JB code slcs.150.10fel 06 10.1075/slcs.150.10fel 251 270 20 Article 10 01 04 FunGramKB term extractor FunGramKB term extractor 01 04 A tool for building terminological ontologies cfrom specialised corpora A tool for building terminological ontologies 
from specialised corpora 1 A01 01 JB code 406207025 Ángel Felices-Lago Felices-Lago, Ángel Ángel Felices-Lago Universidad de Granada 07 https://benjamins.com/catalog/persons/406207025 2 A01 01 JB code 734207026 Pedro Ureña Gómez-Moreno Gómez-Moreno, Pedro Ureña Pedro Ureña Gómez-Moreno Universidad de Granada 07 https://benjamins.com/catalog/persons/734207026 01 eng 30 00 Ontological engineering is a relatively young discipline that has nevertheless received considerable attention because of its great potential for application in a number of areas, including Machine Translation, Artificial Intelligence and the Semantic Web. A major field of research of the ontological endeavour concerns the building of specialised ontologies, i.e. concept hierarchies which formalise knowledge from expert areas of human activity such as medicine or law. This chapter focuses on the methodological aspects of the construction of specialised taxonomies in the framework of the FunGramKB knowledge base and in doing so it illustrates the FunGramKB Term Extractor, an innovative corpus-based tool for the semi-automatic extraction of terms. 01 01 JB code slcs.150.11mar 06 10.1075/slcs.150.11mar 271 296 26 Article 11 01 04 Deep semantic representation cin a domain-specific ontology Deep semantic representation 
in a domain-specific ontology 01 04 Linking EcoLexicon to FunGramKB Linking EcoLexicon to FunGramKB 1 A01 01 JB code 920207027 Antonio San Martín San Martín, Antonio Antonio San Martín Universidad de Granada 07 https://benjamins.com/catalog/persons/920207027 2 A01 01 JB code 818207028 Pamela Faber Faber, Pamela Pamela Faber Universidad de Granada 07 https://benjamins.com/catalog/persons/818207028 01 eng 30 00 EcoLexicon is a frame-based visual thesaurus on the Environment that is gradually evolving towards the status of a formal ontology. For this purpose, the information in its relational database is in the process of being linked to the ontological system of FunGramKB, a multipurpose knowledge base. This enables the explicitation of specialized knowledge as an extension of general knowledge through its representation in the domain-specific satellite ontology of a main general ontology. This paper describes the linking process and more specifically, how the general concepts in FunGramKB can be extended and reused in deep semantic representations in a domain-specific ontology. 01 01 JB code slcs.150.12san 06 10.1075/slcs.150.12san 297 312 16 Article 12 01 04 A functional and constructional approach for specialized knowledge resources A functional and constructional approach for specialized knowledge resources 1 A01 01 JB code 142207029 Beatriz Sánchez Cárdenas Sánchez Cárdenas, Beatriz Beatriz Sánchez Cárdenas University of Granada 07 https://benjamins.com/catalog/persons/142207029 2 A01 01 JB code 314207030 Pamela Faber Faber, Pamela Pamela Faber University of Granada 07 https://benjamins.com/catalog/persons/314207030 01 eng 30 00 This paper describes how verbs are represented in EcoLexicon (ecolexicon.ugr.es), a specialized knowledge resource in environmental science. Based on the hypothesis that human cognition organizes concepts in semantic categories (Tranel et al. 2001; H. Damasio et al. 2004), verbs are conceptually structured in lexical domains (Mingorance 1985, 1900, 1995; Faber & Mairal 1999). These domains are based on the premises of the Lexical Grammar Model (Faber & Mairal 1999). Once the members of a lexical domain are specified, the conceptual structure of the domain is mapped out. Semantic categories are thus organized in a tangled hierarchy. The semantic relation of troponymy (Fellbaum 1990; Miller & Fellbaum 1991) determines the hierarchical structure of verbal lexical domains. The third step consists in the design of a lexical template based on the principles of the Lexical Constructional Model (Ruiz de Mendoza & Mairal 2008, Mairal & Ruiz de Mendoza 2009). Each lexical template consists of the following: (a) an Aktionsart module according to Role and Reference Grammar (Van Valin 1993, 2005, Van Valin & LaPolla 1997) in which the actantial structure of verbs is established; (b) a semantic module that specifies the thematic relations (Van Valin 2005), macroroles and types of noun selected by each verb. The French and English verbs of movement in the field of Volcanology are analyzed as an illustration of this method. 01 01 JB code slcs.150.13mon 06 10.1075/slcs.150.13mon 313 338 26 Article 13 01 04 Applying the lexical constructional model to ontology building Applying the lexical constructional model to ontology building 1 A01 01 JB code 734207031 Elena Montiel-Ponsoda Montiel-Ponsoda, Elena Elena Montiel-Ponsoda Universidad Politécnica de Madrid 07 https://benjamins.com/catalog/persons/734207031 2 A01 01 JB code 800207032 Guadalupe Aguado-de-Cea Aguado-de-Cea, Guadalupe Guadalupe Aguado-de-Cea Universidad Politécnica de Madrid 07 https://benjamins.com/catalog/persons/800207032 01 eng 30 00 Knowledge acquisition strategies based on lexico-syntactic patterns have shown to significantly contribute to the automatic identification of concepts and relations from texts, but have not investigated how to represent that information in ontologies. Since this is one of the most critical steps in ontology building, we propose to establish a correspondence between lexico-syntactic patterns, specifically verbal patterns representing taxonomic and meronymic relations, and their corresponding ontological structures represented by Ontology Design Patterns. In this way, the transformation of linguistic expressions into ontological structures could be automated and it would support domain experts in the development of ontologies. In order to reliably establish this correspondence, we need to dissect the meaning of predicates. For this aim, we rely on the Lexical Constructional Model, as a comprehensive theory of meaning construction. In this contribution we demonstrate how such a model permits to identify the ontological structure(s) that better capture the meaning of predicates in an ontological resource. 01 01 JB code slcs.150.14gar 06 10.1075/slcs.150.14gar 339 366 28 Article 14 01 04 The interaction of non-linguistic cand linguistic knowledge in FunGramKB The interaction of non-linguistic 
and linguistic knowledge in FunGramKB 1 A01 01 JB code 652207033 Fátima Guerra García Guerra García, Fátima Fátima Guerra García Universidad de La Laguna 07 https://benjamins.com/catalog/persons/652207033 01 eng 30 00 This chapter investigates how the non-linguistic knowledge stored in the conceptual level of FunGramKB interacts with the idiosyncratic linguistic knowledge stored in the other two levels, i.e. the lexical and the grammatical levels. It will be argued that the pivotal module of this knowledge base, the Ontology, and the conceptual information stored for the concepts building its taxonomy may be a good source to predict certain aspects of the different lexicalization patterns of the lexical units that lexicalize those concepts and the constructions in which they are subsumed. Consequently, the nature of this work is that of a cross-level analysis. At the same time, this work also analyzes how a verb-framed language like Spanish and a satellite-framed language like English draw different information from the same conceptual base. 01 01 JB code slcs.150.15iba 06 10.1075/slcs.150.15iba 367 390 24 Article 15 01 04 Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB 1 A01 01 JB code 631207034 Francisco José Ruiz de Mendoza Ibáñez Ruiz de Mendoza Ibáñez, Francisco José Francisco José Ruiz de Mendoza Ibáñez University of La Rioja 07 https://benjamins.com/catalog/persons/631207034 01 eng 30 00 This paper investigates the notion of low-level situational cognitive model, its role in linguistic description and its possible computational treatment in the knowledge base FunGramKB. Low-level situational models are exploited metonymically to produce situation-based implicatures. When such inferences become stably associated with a formal pattern, they give rise to implicational constructions. Other kinds of construction make use of different kinds of cognitive model. For example, argument-structure constructions are based on high-level non-situational cognitive models. The paper then provides a typology of low-level situational cognitive models, which can be roughly equated with Schank and Abelson’s now classical notion of script. Schank and Abelson’s classification into situational, personal and instrumental scripts is revised and refined to make it include a further division into simple, complex and composite scripts. Simple scripts capture sequences of actions, while complex scripts consist of chained sequences of subscripts and composite scripts are combinations of independent subscripts. Since scripts are cases of procedural knowledge, which is included in the so-called cognicon of FunGramKB, the paper explores the incorporation of this typology into the architecture of this part of the knowledge base. This incorporation is argued to endow the cognicon with greater descriptive parsimony, which results in a more efficient computational implementation. Finally, the paper uses the FunGramKB representation metalanguage COREL as an adequate way of supplying precise descriptions in terms of event structure variables and their sequencing, which turns out to be useful to enhance descriptive adequacy in the linguistic model itself. 01 01 JB code slcs.150.16ind 06 10.1075/slcs.150.16ind 391 396 6 Miscellaneous 16 01 04 Index Index 01 eng 01 JB code JBENJAMINS John Benjamins Publishing Company 01 01 JB code JB John Benjamins Publishing Company 01 https://benjamins.com 02 https://benjamins.com/catalog/slcs.150 Amsterdam NL 00 John Benjamins Publishing Company Marketing Department / Karin Plijnaar, Pieter Lamers onix@benjamins.nl 04 01 00 20140401 C 2014 John Benjamins Publishing Company D 2014 John Benjamins Publishing Company 02 WORLD 13 15 9789027259158 WORLD 09 01 JB 3 John Benjamins e-Platform 03 https://jbe-platform.com 29 https://jbe-platform.com/content/books/9789027270641 21 01 00 Unqualified price 02 99.00 EUR 01 00 Unqualified price 02 83.00 GBP GB 01 00 Unqualified price 02 149.00 USD 935015392 03 01 01 JB code JB John Benjamins Publishing Company 01 JB code SLCS 150 GE 15 9789027270641 06 10.1075/slcs.150 00 EA E133 10 01 JB code SLCS 02 JB code 0165-7763 02 150.00 01 02 Studies in Language Companion Series Studies in Language Companion Series 01 01 Language Processing and Grammars Language Processing and Grammars 1 B01 01 JB code 36166595 Brian Nolan Nolan, Brian Brian Nolan Institute of Technology Blanchardstown Dublin 2 B01 01 JB code 704166594 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual Universidad Politécnica de Valencia 01 eng 11 402 03 03 vi 03 00 396 03 24 JB code LIN.COMPUT Computational & corpus linguistics 24 JB code LIN.FUNCT Functional linguistics 24 JB code LIN.SEMAN Semantics 24 JB code LIN.SYNTAX Syntax 24 JB code TERM.TERM Terminology 10 LAN009000 12 CFX 01 06 02 00 This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda. 03 00 There is a growing awareness of the significance and value that modelling using information technology can bring to the functionally oriented linguistic enterprise. This encompasses a spectrum of areas as diverse as concept modelling, language processing and grammar modelling, conversational agents, and the visualisation of complex linguistic information in a functional linguistic perspective. This edited volume offers a collection of papers dealing with different aspects of computational modelling of language and grammars, within a functional perspective at both the theoretical and application levels. As a result, this volume represents the first instance of contemporary functionally oriented computational treatments of a variety of important language and linguistic issues. This book presents current research on functionally oriented computational models of grammar, language processing and linguistics, concerned with a broadly functional computational linguistics that also contributes to our understanding of languages within a functional and cognitive linguistic, computational research agenda. 01 00 03 01 01 D503 https://benjamins.com/covers/475/slcs.150.png 01 01 D502 https://benjamins.com/covers/475_jpg/9789027259158.jpg 01 01 D504 https://benjamins.com/covers/475_tif/9789027259158.tif 01 01 D503 https://benjamins.com/covers/1200_front/slcs.150.hb.png 01 01 D503 https://benjamins.com/covers/125/slcs.150.png 02 00 03 01 01 D503 https://benjamins.com/covers/1200_back/slcs.150.hb.png 03 00 03 01 01 D503 https://benjamins.com/covers/3d_web/slcs.150.hb.png 01 01 JB code slcs.150.01per 06 10.1075/slcs.150.01per 1 12 12 Article 1 01 04 Introduction Introduction 1 A01 01 JB code 88207009 Brian Nolan Nolan, Brian Brian Nolan 2 A01 01 JB code 315207010 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual 01 01 JB code slcs.150.02may 06 10.1075/slcs.150.02may 13 38 26 Article 2 01 04 From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets From the extraction of continuous features in parallel texts to visual analytics of heterogeneous areal-typological datasets 1 A01 01 JB code 740207011 Thomas Mayer Mayer, Thomas Thomas Mayer Philips University Marburg 2 A01 01 JB code 794207012 Bernhard Wälchli Wälchli, Bernhard Bernhard Wälchli Stockholm University 3 A01 01 JB code 111207013 Christian Rohrdantz Rohrdantz, Christian Christian Rohrdantz University of Konstanz 4 A01 01 JB code 138207014 Michael Hund Hund, Michael Michael Hund University of Konstanz 01 01 JB code slcs.150.03leo 06 10.1075/slcs.150.03leo 39 78 40 Article 3 01 04 Lexical-syntactic analysis model of Spanish multi-word expressions Lexical-syntactic analysis model of Spanish multi-word expressions 1 A01 01 JB code 423207015 Jorge Antonio Leoni de León Leoni de León, Jorge Antonio Jorge Antonio Leoni de León University of Costa Rica 01 01 JB code slcs.150.04got 06 10.1075/slcs.150.04got 79 104 26 Article 4 01 04 Three-place predicates in RRG Three-place predicates in RRG 01 04 A computational approach A computational approach 1 A01 01 JB code 274207016 Judith Gottschalk Gottschalk, Judith Judith Gottschalk Aalborg University, Denmark 01 01 JB code slcs.150.05die 06 10.1075/slcs.150.05die 105 142 38 Article 5 01 04 A Role and Reference Grammar parser cfor German A Role and Reference Grammar parser 
for German 1 A01 01 JB code 750207017 Elke Diedrichsen Diedrichsen, Elke Elke Diedrichsen Google EU HQ Dublin 01 01 JB code slcs.150.06nol 06 10.1075/slcs.150.06nol 143 164 22 Article 6 01 04 Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents Extending a lexicalist functional grammar through speech acts, constructions and conversational software agents 1 A01 01 JB code 70207018 Brian Nolan Nolan, Brian Brian Nolan Institute of Technology Blanchardstown Dublin 01 01 JB code slcs.150.07per 06 10.1075/slcs.150.07per 165 196 32 Article 7 01 04 The implementation of the CLS constructor in ARTEMIS The implementation of the CLS constructor in ARTEMIS 1 A01 01 JB code 350207019 Carlos Periñán-Pascual Periñán-Pascual, Carlos Carlos Periñán-Pascual Universidad Politécnica de Valencia 2 A01 01 JB code 422207020 Francisco Arcas-Túnez Arcas-Túnez, Francisco Francisco Arcas-Túnez Universidad Católica San Antonio 01 01 JB code slcs.150.08oyo 06 10.1075/slcs.150.08oyo 197 232 36 Article 8 01 04 FrameNet and FunGramKB FrameNet and FunGramKB 01 04 A comparison of two computational resources for semantic knowledge representation A comparison of two computational resources for semantic knowledge representation 1 A01 01 JB code 843207021 Alba Luzondo Oyón Luzondo Oyón, Alba Alba Luzondo Oyón Universidad de La Rioja 2 A01 01 JB code 471207022 Rocío Jiménez Briones Jiménez Briones, Rocío Rocío Jiménez Briones Universidad Autónoma de Madrid 01 01 JB code slcs.150.09gar 06 10.1075/slcs.150.09gar 233 250 18 Article 9 01 04 Exploring the thematic-frame mapping cin FunGramKB Exploring the thematic-frame mapping 
in FunGramKB 1 A01 01 JB code 669207023 Fátima Guerra García Guerra García, Fátima Fátima Guerra García Instituto de Lingüística Andrés Bello 2 A01 01 JB code 877207024 Elena Sacramento Lechado Sacramento Lechado, Elena Elena Sacramento Lechado Universidad de La Laguna 01 01 JB code slcs.150.10fel 06 10.1075/slcs.150.10fel 251 270 20 Article 10 01 04 FunGramKB term extractor FunGramKB term extractor 01 04 A tool for building terminological ontologies cfrom specialised corpora A tool for building terminological ontologies 
from specialised corpora 1 A01 01 JB code 406207025 Ángel Felices-Lago Felices-Lago, Ángel Ángel Felices-Lago Universidad de Granada 2 A01 01 JB code 734207026 Pedro Ureña Gómez-Moreno Gómez-Moreno, Pedro Ureña Pedro Ureña Gómez-Moreno Universidad de Granada 01 01 JB code slcs.150.11mar 06 10.1075/slcs.150.11mar 271 296 26 Article 11 01 04 Deep semantic representation cin a domain-specific ontology Deep semantic representation 
in a domain-specific ontology 01 04 Linking EcoLexicon to FunGramKB Linking EcoLexicon to FunGramKB 1 A01 01 JB code 920207027 Antonio San Martín San Martín, Antonio Antonio San Martín Universidad de Granada 2 A01 01 JB code 818207028 Pamela Faber Faber, Pamela Pamela Faber Universidad de Granada 01 01 JB code slcs.150.12san 06 10.1075/slcs.150.12san 297 312 16 Article 12 01 04 A functional and constructional approach for specialized knowledge resources A functional and constructional approach for specialized knowledge resources 1 A01 01 JB code 142207029 Beatriz Sánchez Cárdenas Sánchez Cárdenas, Beatriz Beatriz Sánchez Cárdenas University of Granada 2 A01 01 JB code 314207030 Pamela Faber Faber, Pamela Pamela Faber University of Granada 01 01 JB code slcs.150.13mon 06 10.1075/slcs.150.13mon 313 338 26 Article 13 01 04 Applying the lexical constructional model to ontology building Applying the lexical constructional model to ontology building 1 A01 01 JB code 734207031 Elena Montiel-Ponsoda Montiel-Ponsoda, Elena Elena Montiel-Ponsoda Universidad Politécnica de Madrid 2 A01 01 JB code 800207032 Guadalupe Aguado-de-Cea Aguado-de-Cea, Guadalupe Guadalupe Aguado-de-Cea Universidad Politécnica de Madrid 01 01 JB code slcs.150.14gar 06 10.1075/slcs.150.14gar 339 366 28 Article 14 01 04 The interaction of non-linguistic cand linguistic knowledge in FunGramKB The interaction of non-linguistic 
and linguistic knowledge in FunGramKB 1 A01 01 JB code 652207033 Fátima Guerra García Guerra García, Fátima Fátima Guerra García Universidad de La Laguna 01 01 JB code slcs.150.15iba 06 10.1075/slcs.150.15iba 367 390 24 Article 15 01 04 Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB Low-level situational cognitive models within the Lexical Constructional Model and their computational implementation in FunGramKB 1 A01 01 JB code 631207034 Francisco José Ruiz de Mendoza Ibáñez Ruiz de Mendoza Ibáñez, Francisco José Francisco José Ruiz de Mendoza Ibáñez University of La Rioja 01 01 JB code slcs.150.16ind 06 10.1075/slcs.150.16ind 391 396 6 Miscellaneous 16 01 04 Index Index 01 JB code JBENJAMINS John Benjamins Publishing Company 01 01 JB code JB John Benjamins Publishing Company 01 https://benjamins.com Amsterdam NL 00 John Benjamins Publishing Company Marketing Department / Karin Plijnaar, Pieter Lamers onix@benjamins.nl 04 01 00 20140401 C 2014 John Benjamins Publishing Company D 2014 John Benjamins Publishing Company 02 WORLD 13 15 9789027259158 WORLD 03 01 JB 17 Google 03 https://play.google.com/store/books 21 01 00 Unqualified price 00 99.00 EUR 01 00 Unqualified price 00 83.00 GBP 01 00 Unqualified price 00 149.00 USD