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Models of Language and Multiword Expressions.
Pablo Contreras Kallens1, Morten H Christiansen1,2,3
1Department of Psychology, Cornell University, Ithaca, NY, United States.
The traditional words-and-rules model of language has limitations. Multiword expressions are crucial for linguistic knowledge, challenging the lexicon-grammar distinction and requiring new theoretical approaches.
Area of Science:
- Linguistics
- Cognitive Science
- Computational Linguistics
Background:
- The dominant linguistic model separates language into words (lexicon) and rules (grammar).
- This words-and-rules framework has been influential but shows limitations in explaining real-world language use.
Purpose of the Study:
- To review evidence highlighting the significance of multiword expressions in language.
- To question the traditional lexicon-grammar dichotomy based on the role of multiword units.
- To explore alternative theoretical frameworks for understanding language representation and processing.
Main Methods:
- Review of evidence from language acquisition studies.
- Analysis of sentence processing research.
- Examination of computational modeling approaches.
- Synthesis of diverse theoretical perspectives on multiword expressions.
Main Results:
- Multiword expressions (idioms, collocations) are central to linguistic knowledge organization.
- These expressions blur the distinction between lexicon and grammar.
- Existing models struggle to fully incorporate the role of multiword units.
Conclusions:
- The traditional lexicon-grammar distinction may be insufficient for a complete understanding of language.
- Multiword expressions necessitate a re-evaluation of foundational linguistic theories.
- Further research is needed to develop comprehensive models accounting for multiword expression processing and acquisition.
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