Multiword Units in Machine Translation and Translation Technology

Editors
ORCID logoRuslan Mitkov | University of Wolverhampton
Johanna Monti | "L'Orientale" University of Naples
ORCID logoGloria Corpas Pastor | University of Málaga
Violeta Seretan | University of Geneva
HardboundAvailable
ISBN 9789027200600 | EUR 99.00 | USD 149.00
 
e-Book
ISBN 9789027264206 | EUR 99.00 | USD 149.00
 
Google Play logo
The correct interpretation of Multiword Units (MWUs) is crucial to many applications in Natural Language Processing but is a challenging and complex task. In recent years, the computational treatment of MWUs has received considerable attention but there is much more to be done before we can claim that NLP and Machine Translation (MT) systems process MWUs successfully.
This volume provides a general overview of the field with particular reference to Machine Translation and Translation Technology and focuses on languages such as English, Basque, French, Romanian, German, Dutch and Croatian, among others. The chapters of the volume illustrate a variety of topics that address this challenge, such as the use of rule-based approaches, compound splitting techniques, MWU identification methodologies in multilingual applications, and MWU alignment issues.
[Current Issues in Linguistic Theory, 341] 2018.  ix, 259 pp.
Publishing status: Available
Table of Contents
“[T]he book represents many interesting topics in the area of computational treatment of multiword expressions, with a special focus on MT and translation technology. [...] This book can essentially be viewed as an important contribution to a specialised area (i.e. computational treatment of MWUs) of interest, which will be a great help to NLP researchers, and MT researchers and users in particular.”
“[T]he accuracy of MWU translations still remains a problem, and MWU processing and translation still pose the hardest challenges to MT and translation technology (TT). [...] [T]he book definitely makes an important contribution to MWU processing, thanks to the new angle it brings to the study of MWU in NLP and the diverse and innovative models for the computational treatment of MWU.”
“The book covers the treatments of different types of MWUs (e.g. idioms, lexical bundles, collocations, compounds) in translation (i.e. by MT system or CAT software) and a number of use-cases. The first chapter by the editors of the book presents an extensive background study and survey on the computational treatment of MWUs in NLP applications (particularly with respect to different MT approaches).”
Cited by

Cited by 5 other publications

Cabezas-García, Melania & Pilar León-Araúz
2023. Machine versus corpus-based translation of multiword terms. Digital Scholarship in the Humanities 38:Supplement_1  pp. i6 ff. DOI logo
Lima Florido, Francisco Javier
2023. Computational and Corpus-Based Phraseology. TRANS: Revista de Traductología :27  pp. 289 ff. DOI logo
Liu, Kanglong & Muhammad Afzaal
2021. Translator's Style Through Lexical Bundles: A Corpus-Driven Analysis of Two English Translations of Hongloumeng. Frontiers in Psychology 12 DOI logo
Sánchez Rodas, Fernando
2023. Translation and interpreting of organisation names in the English and Spanish Eurolect: a corpus-based study. Romanica Olomucensia 35:1  pp. 157 ff. DOI logo
[no author supplied]
2023. Book reviews. Yearbook of Phraseology 14:1  pp. 225 ff. DOI logo

This list is based on CrossRef data as of 22 march 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.

Subjects

Translation & Interpreting Studies

Translation Studies

Main BIC Subject

CFK: Grammar, syntax

Main BISAC Subject

LAN009060: LANGUAGE ARTS & DISCIPLINES / Linguistics / Syntax
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2017058783 | Marc record