TY - GEN

T1 - Collocations in Russian lexicography and Russian collocations database

AU - Khokhlova, Maria

N1 - Funding Information: This work was supported by the grant of the Russian Science Foundation (Project No. 19-78-00091). Publisher Copyright: © European Language Resources Association (ELRA), licensed under CC-BY-NC Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

N2 - The paper presents the issue of collocability and collocations in Russian and gives a survey of a wide range of dictionaries both printed and online ones that describe collocations. Our project deals with building a database that will include dictionary and statistical collocations. The former can be described in various lexicographic resources whereas the latter can be extracted automatically from corpora. Dictionaries differ among themselves, the information is given in various ways, making it hard for language learners and researchers to acquire data. A number of dictionaries were analyzed and processed to retrieve verified collocations, however the overlap between the lists of collocations extracted from them is still rather small. This fact indicates there is a need to create a unified resource which takes into account collocability and more examples. The proposed resource will also be useful for linguists and for studying Russian as a foreign language. The obtained results can be important for machine learning and for other NLP tasks, for instance, automatic clustering of word combinations and disambiguation.

AB - The paper presents the issue of collocability and collocations in Russian and gives a survey of a wide range of dictionaries both printed and online ones that describe collocations. Our project deals with building a database that will include dictionary and statistical collocations. The former can be described in various lexicographic resources whereas the latter can be extracted automatically from corpora. Dictionaries differ among themselves, the information is given in various ways, making it hard for language learners and researchers to acquire data. A number of dictionaries were analyzed and processed to retrieve verified collocations, however the overlap between the lists of collocations extracted from them is still rather small. This fact indicates there is a need to create a unified resource which takes into account collocability and more examples. The proposed resource will also be useful for linguists and for studying Russian as a foreign language. The obtained results can be important for machine learning and for other NLP tasks, for instance, automatic clustering of word combinations and disambiguation.

KW - Collocations

KW - Lexical database

KW - Russian dictionaries

KW - Parallel corpus

KW - Low-resource language

KW - Wolof

KW - Neural machine translation

KW - Word embeddings

UR - http://www.scopus.com/inward/record.url?scp=85096577760&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/50653d2d-f7e2-36ae-871a-85fb7753b95b/

M3 - Conference contribution

AN - SCOPUS:85096577760

SN - 9791095546344

T3 - LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

SP - 3198

EP - 3206

BT - LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings

A2 - Calzolari, Nicoletta

A2 - Bechet, Frederic

A2 - Blache, Philippe

A2 - Choukri, Khalid

A2 - Cieri, Christopher

A2 - Declerck, Thierry

A2 - Goggi, Sara

A2 - Isahara, Hitoshi

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Mazo, Helene

A2 - Moreno, Asuncion

A2 - Odijk, Jan

A2 - Piperidis, Stelios

PB - European Language Resources Association (ELRA)

CY - Paris

T2 - 12th International Conference on Language Resources and Evaluation

Y2 - 11 May 2020 through 16 May 2020

ER -