Fluid Construction Grammar (FCG) is a fully operational computational platform for developing grammars from a constructional perspective. It contains mechanisms for representing grammars and for using them in computational experiments and applications in language understanding, production and learning. FCG can be used by grammar writers who want to test whether their grammar fragments are complete and coherent for the domain they are investigating (for example verb phrases) or who are working in a team and have to share grammar fragments with others. It can be used by computational linguists implementing practical language processing systems or exploring how machine learning algorithms can acquire grammars. This paper introduces some of the basic mechanisms of FCG, illustrated with examples.
The Dutch verb phrase (VP) is notorious for its syntactic intricacies. There are three main reasons why it is difficult to robustly handle its complexity in a processing model. First of all, a single VP can contain multiple modal auxiliaries (‘modal stacking’). Second, perfect auxiliaries can not only take a past participle as their argument but also a modal auxiliary in the infinitive form. Finally, there are various word orders in which the verb forms can appear. The first part of this paper presents a fully operational precision processing model of the Dutch VP in Fluid Construction Grammar. The model shows that the aforementioned challenges can be overcome by carefully managing the hierarchical relations between the elements of the VP. The second part introduces a robust comprehension method, which can process VPs containing morphological and word order errors. This method allows in many cases to recover the intended meaning of an erroneous VP, as well as to correct its form, using a strategy that exploits the deep semantic analyses and the bidirectional nature of the model.
The English auxiliaries have been a matter of dispute for decades with two opposing views: one analysis treats them as main verbs that take a VP complement; the other considers them as feature carriers. Proponents of both approaches have convincingly pointed out each other’s weaknesses without however settling the debate and without accounting for the fact that the English VP is still evolving today. The goal of this paper is to show that Construction Grammar offers a way out of the current status quo. This claim is substantiated by a computational formalization of the English verb phrase in Fluid Construction Grammar that includes a bi-directional processing model for formulation and comprehension available for online testing.
The Spanish verb phrase can take on many forms, depending on the temporal, aspectual and modal interpretation that a speaker wants to convey. At least half a dozen constructions work together to build or analyze even the simplest verb form such as hablo ‘I speak’. This paper documents how the complete Spanish verb conjugation system can be operationalized in a computational construction grammar formalism, namely Fluid Construction Grammar. Moreover, it shows how starting from a seed grammar that handles regular morphology and grammar one can create a productive grammar that captures systematicity in Spanish verb conjugation and can expand its construction inventory when new verbs are encountered.
Russian boasts a highly complex aspectual system which can appear irregular and difficult to learn. It has recently been suggested that motion verbs, which are normally seen as exceptional in their nature, may in fact be at the core of this system, motivating aspectual behavior based on stem directionality. This suggests that analyzing motion verbs may help understand the Russian aspectual system as a whole. The present work demonstrates how Russian motion verbs and their aspectual partners can be implemented and processed successfully with Fluid Constructional Grammar. The study presents an example of language processing in both production and comprehension in operation and highlights the flexibility and power of this formalism, despite the challenges that this complex aspectual system poses.
Fluid Construction Grammar (FCG) is a fully operational computational platform for developing grammars from a constructional perspective. It contains mechanisms for representing grammars and for using them in computational experiments and applications in language understanding, production and learning. FCG can be used by grammar writers who want to test whether their grammar fragments are complete and coherent for the domain they are investigating (for example verb phrases) or who are working in a team and have to share grammar fragments with others. It can be used by computational linguists implementing practical language processing systems or exploring how machine learning algorithms can acquire grammars. This paper introduces some of the basic mechanisms of FCG, illustrated with examples.
The Dutch verb phrase (VP) is notorious for its syntactic intricacies. There are three main reasons why it is difficult to robustly handle its complexity in a processing model. First of all, a single VP can contain multiple modal auxiliaries (‘modal stacking’). Second, perfect auxiliaries can not only take a past participle as their argument but also a modal auxiliary in the infinitive form. Finally, there are various word orders in which the verb forms can appear. The first part of this paper presents a fully operational precision processing model of the Dutch VP in Fluid Construction Grammar. The model shows that the aforementioned challenges can be overcome by carefully managing the hierarchical relations between the elements of the VP. The second part introduces a robust comprehension method, which can process VPs containing morphological and word order errors. This method allows in many cases to recover the intended meaning of an erroneous VP, as well as to correct its form, using a strategy that exploits the deep semantic analyses and the bidirectional nature of the model.
The English auxiliaries have been a matter of dispute for decades with two opposing views: one analysis treats them as main verbs that take a VP complement; the other considers them as feature carriers. Proponents of both approaches have convincingly pointed out each other’s weaknesses without however settling the debate and without accounting for the fact that the English VP is still evolving today. The goal of this paper is to show that Construction Grammar offers a way out of the current status quo. This claim is substantiated by a computational formalization of the English verb phrase in Fluid Construction Grammar that includes a bi-directional processing model for formulation and comprehension available for online testing.
The Spanish verb phrase can take on many forms, depending on the temporal, aspectual and modal interpretation that a speaker wants to convey. At least half a dozen constructions work together to build or analyze even the simplest verb form such as hablo ‘I speak’. This paper documents how the complete Spanish verb conjugation system can be operationalized in a computational construction grammar formalism, namely Fluid Construction Grammar. Moreover, it shows how starting from a seed grammar that handles regular morphology and grammar one can create a productive grammar that captures systematicity in Spanish verb conjugation and can expand its construction inventory when new verbs are encountered.
Russian boasts a highly complex aspectual system which can appear irregular and difficult to learn. It has recently been suggested that motion verbs, which are normally seen as exceptional in their nature, may in fact be at the core of this system, motivating aspectual behavior based on stem directionality. This suggests that analyzing motion verbs may help understand the Russian aspectual system as a whole. The present work demonstrates how Russian motion verbs and their aspectual partners can be implemented and processed successfully with Fluid Constructional Grammar. The study presents an example of language processing in both production and comprehension in operation and highlights the flexibility and power of this formalism, despite the challenges that this complex aspectual system poses.