Multi-word lexemes in syntactic context

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F20%3A43921768" target="_blank" >RIV/60461373:22310/20:43921768 - isvavai.cz</a>

Result on the web

<a href="https://dspace.cuni.cz/handle/20.500.11956/123090" target="_blank" >https://dspace.cuni.cz/handle/20.500.11956/123090</a>

DOI - Digital Object Identifier

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Result language

čeština

Original language name

Víceslovné lexémy v syntaktickém kontextu

Original language description

We start with the assumption that (i) a corpus represents the use of language, i.e. linguistic performance, (ii) a rule-based grammar represents language as a system, i.e. linguistic competence, and (iii) corpus annotation represents the interface between the two. To detect and diagnose mismatches between the language use and the language system we use a constraint-based grammar run as a constraint solver on texts tagged and dependency-parsed by stochastic tools. The texts also have MWEs (multi-word expressions) identified and transformed into a constituency-based format before the grammar is applied. We describe the role and results of the grammar, and its use to check texts annotated with morphosyntactic categories, syntactic structure and information about the status of relevant expressions as MWEs. The grammar also employs lexical resources such as a valency lexicon and a database of MWEs to make the checking more accurate and the annotation more informative. The results are represented as typed feature structures where MWE-related information can be shared by lexical and phrasal nodes. This allows for the annotation of MWEs as lexical units, independently of their analysis in terms of syntactic structure. Focusing on the interplay of MWEs with their syntactic context we analyse a number of representative examples, pointing out the pros and cons of specific solutions and the whole approach.

Czech name

Víceslovné lexémy v syntaktickém kontextu

Czech description

We start with the assumption that (i) a corpus represents the use of language, i.e. linguistic performance, (ii) a rule-based grammar represents language as a system, i.e. linguistic competence, and (iii) corpus annotation represents the interface between the two. To detect and diagnose mismatches between the language use and the language system we use a constraint-based grammar run as a constraint solver on texts tagged and dependency-parsed by stochastic tools. The texts also have MWEs (multi-word expressions) identified and transformed into a constituency-based format before the grammar is applied. We describe the role and results of the grammar, and its use to check texts annotated with morphosyntactic categories, syntactic structure and information about the status of relevant expressions as MWEs. The grammar also employs lexical resources such as a valency lexicon and a database of MWEs to make the checking more accurate and the annotation more informative. The results are represented as typed feature structures where MWE-related information can be shared by lexical and phrasal nodes. This allows for the annotation of MWEs as lexical units, independently of their analysis in terms of syntactic structure. Focusing on the interplay of MWEs with their syntactic context we analyse a number of representative examples, pointing out the pros and cons of specific solutions and the whole approach.

Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Studie z aplikované lingvistiky

ISSN

2336-6702

e-ISSN

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Volume of the periodical

2020

Issue of the periodical within the volume

12

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

22

Pages from-to

63-84

UT code for WoS article

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EID of the result in the Scopus database

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