Multiword Expressions
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Multiword expressions
Multiword expressions (MWEs) are a challenge for both the natural language applications and the linguistic theory because they often defy the application of the machinery developed for free combinations where the default is that the meaning of an utterance can be predicted from its structure. There is a rich body of primarily descriptive work on MWEs for many European languages but comparative work is little. The volume brings together MWE experts to explore the benefits of a multilingual perspective on MWEs. The ten contributions in this volume look at MWEs in Bulgarian, English, French, German, Maori, Modern Greek, Romanian, Serbian, and Spanish. They discuss prominent issues in MWE research such as classification of MWEs, their formal grammatical modeling, and the description of individual MWE types from the point of view of different theoretical frameworks, such as Dependency Grammar, Generative Grammar, Head-driven Phrase Structure Grammar, Lexical Functional Grammar, Lexicon Grammar.
Chinese Multiword Expressions
This book is the first English monograph to systematically explore Chinese Multiword expressions (MWEs) by applying corpus-driven and corpus-based approaches. It reveals the unique characteristics of Chinese MWEs by examining their core attributes, identification and classification, and knowledge framework. It also assesses, for the first time, the distribution and density of Chinese MWEs in textbooks. By doing so, the book provides important insights into Chinese language learning, with implications for natural language processing, lexicography, and psychology. Moreover, it offers a framework for linguists, language teachers and learners, computer scientists, lexicographers, and psychologists to explore their own areas of interest.
Multiword expressions in lexical resources
Author: Voula Giouli
language: en
Publisher: Language Science Press
Release Date: 2024-06-17
This volume contains chapters that paint the current landscape of the multiword expressions (MWE) representation in lexical resources, in view of their robust identification and computational processing. Both large-size general lexica and smaller MWE-centred ones are included, with special focus on the representation decisions and mechanisms that facilitate their usage in Natural Language Processing tasks. The presentations go beyond the morpho-syntactic description of MWEs, into their semantics. One challenge in representing MWEs in lexical resources is ensuring that the variability along with extra features required by the different types of MWEs can be captured efficiently. In this respect, recommendations for representing MWEs in mono- and multilingual computational lexicons have been proposed; these focus mainly on the syntactic and semantic properties of support verbs and noun compounds and their proper encoding thereof.