Lexical data mining-based approach for the self-enrichment of LMF standardized dictionaries: Case of the syntactico-semantic knowledge

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441625" target="_blank" >RIV/00216208:11320/21:10441625 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Itcfb.rlbg" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Itcfb.rlbg</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/cpe.6312" target="_blank" >10.1002/cpe.6312</a>

Result language

angličtina

Original language name

Lexical data mining-based approach for the self-enrichment of LMF standardized dictionaries: Case of the syntactico-semantic knowledge

Original language description

The LMF ISO standard provides a large cover of lexical knowledge using a fine structure. However, like most of the electronic dictionaries, the available normalized LMF dictionaries comprise only basic morpho-syntactic and semantic knowledge, such as the meanings of lexical entries through the definitions and the associated examples, and sometimes the indication of the synonyms and antonyms. Other sophisticated knowledge, such as the syntactic behaviors, semantic classes and syntactico-semantic links, which are scarce, requires a high expertise and its adding to dictionaries is expensive. In fact in this paper, we propose an approach of lexical data mining of the widely available textual content associated with the meanings, notably in the normalized LMF dictionaries, in order to perform the self-enrichment of these dictionaries. First, we contribute to the enrichment of the syntactic behaviors by linking them to the suitable meanings. Second, we focus on the enrichment of the meanings of LMF lexical entries with semantic classes based on the Gaston Gross semantic classification. Finally, we establish the syntactico-semantic links based on the results of the syntactic and semantic enrichment processes. The proposed approach has been consolidated by an experimentation carried out on an available normalized LMF dictionary for Arabic language.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

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

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Publication year

2021

Confidentiality

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

Name of the periodical

Concurrency Computation Practice and Experience

ISSN

1532-0626

e-ISSN

1532-0634

Volume of the periodical

33

Issue of the periodical within the volume

17

Country of publishing house

GB - UNITED KINGDOM

Number of pages

32

Pages from-to

e6312

UT code for WoS article

000640935900001

EID of the result in the Scopus database

2-s2.0-85104407123