Introduction to the special issue on multiword expressions: Having a crack at a hard nut

Villavicencio, Aline; Bond, Francis; Korhonen, Anna; McCarthy, Diana

doi:10.1016/j.csl.2005.05.001

Cited by 50 publications

(21 citation statements)

References 16 publications

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“… Contributions to recent special issues of computational linguistics journals (e.g., Ramisch, Villavicencio, & Kordoni, ; Villavicencio, Bond, Korhonen, & McCarthy, ) have underscored the immense scale of the challenge for computer science. …”

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confidence: 99%

More Than Words: The Role of Multiword Sequences in Language Learning and Use

Christiansen

Arnon

2017

Topics in Cognitive Science

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The ability to convey our thoughts using an infinite number of linguistic expressions is one of the hallmarks of human language. Understanding the nature of the psychological mechanisms and representations that give rise to this unique productivity is a fundamental goal for the cognitive sciences. A long-standing hypothesis is that single words and rules form the basic building blocks of linguistic productivity, with multiword sequences being treated as units only in peripheral cases such as idioms. The new millennium, however, has seen a shift toward construing multiword linguistic units not as linguistic rarities, but as important building blocks for language acquisition and processing. This shiftwhich originated within theoretical approaches that emphasize language learning and use-has far-reaching implications for theories of language representation, processing, and acquisition. Incorporating multiword units as integral building blocks blurs the distinction between grammar and lexicon; calls for models of production and comprehension that can accommodate and give rise to the effect of multiword information on processing; and highlights the importance of such units to learning. In this special topic, we bring together cutting-edge work on multiword sequences in theoretical linguistics, first-language acquisition, psycholinguistics, computational modeling, and second-language learning to present a comprehensive overview of the prominence and importance of such units in language, their possible role in explaining differences between first-and second-language learning, and the challenges the combined findings pose for theories of language.Correspondence should be sent to

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More Than Words: The Role of Multiword Sequences in Language Learning and Use

Christiansen

Arnon

2017

Topics in Cognitive Science

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“…Although this is true for many MWEs, it is nowadays − thanks to the seminal paper by Nunberg, Sag and Wasow (1994) and others − generally accepted that non-compositionality should not count as a defining criterion for MWEs. Sag et al 2002;Villavicencio et al 2005). However, the notion of non-compositionality is usually associated with several aspects of meaning, such as opacity, unanalysability or figurative meaning, which are often confused (or at least not made explicit) in the literature, cf.…”

Section: General Propertiesmentioning

confidence: 99%

24. Multi-word expressions

Hüning¹,

Schlücker²

2015

Word-Formation

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Multi-word expressions (MWEs) are complex lexical units, for example verbal idioms (bite the bullet) or frozen adverbials (all at once). Others, such as particle verbs (stick out) or complex nominals (day-care center), indicate a close relationship between MWEs and word-formation units. Focusing on this relation, the present article discusses commonalities and differences between MWEs and word-formation units and their mutual relations in the language system and in language use.

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“…Recently, idioms have raised eyebrows among linguists, psycholinguists, and lexicographers due to their pervasiveness in daily discourse and their fascinating properties in linguistics literature (Villavicencio et al, 2005;Salton et al, 2014). As peculiar linguistic constructions (Villavicencio et al, 2005;Salton et al, 2014), idioms have three following properties:…”

Section: Linguistic Interpretation Of Idiomsmentioning

confidence: 99%

“…As peculiar linguistic constructions (Villavicencio et al, 2005;Salton et al, 2014), idioms have three following properties:…”

Section: Linguistic Interpretation Of Idiomsmentioning

confidence: 99%

Idiom-Aware Compositional Distributed Semantics

Liu

Qian²,

Qiu

et al. 2017

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

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Idioms are peculiar linguistic constructions that impose great challenges for representing the semantics of language, especially in current prevailing end-to-end neural models, which assume that the semantics of a phrase or sentence can be literally composed from its constitutive words. In this paper, we propose an idiomaware distributed semantic model to build representation of sentences on the basis of understanding their contained idioms. Our models are grounded in the literalfirst psycholinguistic hypothesis, which can adaptively learn semantic compositionality of a phrase literally or idiomatically. To better evaluate our models, we also construct an idiom-enriched sentiment classification dataset with considerable scale and abundant peculiarities of idioms. The qualitative and quantitative experimental analyses demonstrate the efficacy of our models. The newly-introduced datasets are publicly available at http: //nlp.fudan.edu.cn/data/

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Introduction to the special issue on multiword expressions: Having a crack at a hard nut

Cited by 50 publications

References 16 publications

More Than Words: The Role of Multiword Sequences in Language Learning and Use

More Than Words: The Role of Multiword Sequences in Language Learning and Use

24. Multi-word expressions

Idiom-Aware Compositional Distributed Semantics

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