Dependency parsing of code-switching data with cross-lingual feature representations

Niko Partanen; KyungTae Lim; Michael Rießler; Thierry Poibeau

Dependency parsing of code-switching data with cross-lingual feature representations

Niko Partanen
, KyungTae Lim
, Michael Rießler
, Thierry Poibeau

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

This paper describes the test of a dependency parsing method which is based
on bidirectional LSTM feature representations and multilingual word embedding,
and evaluates the results on mono- and multilingual data. The results are similar
in all cases, with a slightly better results achieved using multilingual data. The
languages under investigation are Komi-Zyrian and Russian. Examination of the
results by relation type shows that some language specific constructions are correctly recognized even when they appear in naturally occurring code-switching
data.

Alkuperäiskieli	englanti
Otsikko	Proceedings of the 4th International Workshop on Computational Linguistics for Uralic languages
Sivumäärä	17
Kustantaja	The Association for Computational Linguistics
Julkaisupäivä	2018
Sivut	1-17
Tila	Julkaistu - 2018
Julkaistu ulkoisesti	Kyllä
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Workshop for Computational Linguistics of Uralic Languages - University of Helsinki, Department of Modern Languages, Helsinki, Suomi Kesto: 8 tammik. 2018 → 9 tammik. 2018 Konferenssinumero: 4 http://blogs.helsinki.fi/language-technology/iwclul-2018/

Tieteenalat

6121 Kielitieteet

Pääsy asiakirjaan

http://aclweb.org/anthology/W/W18/W18-0201.pdfLisenssi: CC BY

Laboratoire Lattice – École Normale Supérieure
Partanen, N. (Vieraileva tutkija), Poibeau, T. (Muu rooli) & Lim, K. (Muu rooli)
27 marrask. 2019 → 6 jouluk. 2019
Aktiviteetti: Ulkoisessa instituutiossa vierailun tyypit › Akateeminen vierailu toiseen organisaatioon

Siteeraa tätä

@inproceedings{176307ce827c48c7b9e74ec37dc7e693,

title = "Dependency parsing of code-switching data with cross-lingual feature representations",

abstract = "This paper describes the test of a dependency parsing method which is based on bidirectional LSTM feature representations and multilingual word embedding, and evaluates the results on mono- and multilingual data. The results are similar in all cases, with a slightly better results achieved using multilingual data. The languages under investigation are Komi-Zyrian and Russian. Examination of the results by relation type shows that some language specific constructions are correctly recognized even when they appear in naturally occurring code-switching data.",

keywords = "6121 Languages",

author = "Niko Partanen and KyungTae Lim and Michael Rie{\ss}ler and Thierry Poibeau",

year = "2018",

language = "English",

pages = "1--17",

booktitle = "Proceedings of the 4th International Workshop on Computational Linguistics for Uralic languages",

publisher = "The Association for Computational Linguistics",

address = "United States",

note = "International Workshop for Computational Linguistics of Uralic Languages, IWCLUL ; Conference date: 08-01-2018 Through 09-01-2018",

url = "http://blogs.helsinki.fi/language-technology/iwclul-2018/",

}

Partanen, N, Lim, K, Rießler, M & Poibeau, T 2018, Dependency parsing of code-switching data with cross-lingual feature representations. julkaisussa Proceedings of the 4th International Workshop on Computational Linguistics for Uralic languages. The Association for Computational Linguistics, Sivut 1-17, International Workshop for Computational Linguistics of Uralic Languages, Helsinki, Suomi, 08/01/2018. <http://aclweb.org/anthology/W/W18/W18-0201.pdf>

Dependency parsing of code-switching data with cross-lingual feature representations. / Partanen, Niko; Lim, KyungTae; Rießler, Michael et al.
Proceedings of the 4th International Workshop on Computational Linguistics for Uralic languages. The Association for Computational Linguistics, 2018. s. 1-17.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

TY - GEN

T1 - Dependency parsing of code-switching data with cross-lingual feature representations

AU - Partanen, Niko

AU - Lim, KyungTae

AU - Rießler, Michael

AU - Poibeau, Thierry

N1 - Conference code: 4

PY - 2018

Y1 - 2018

N2 - This paper describes the test of a dependency parsing method which is based on bidirectional LSTM feature representations and multilingual word embedding, and evaluates the results on mono- and multilingual data. The results are similar in all cases, with a slightly better results achieved using multilingual data. The languages under investigation are Komi-Zyrian and Russian. Examination of the results by relation type shows that some language specific constructions are correctly recognized even when they appear in naturally occurring code-switching data.

AB - This paper describes the test of a dependency parsing method which is based on bidirectional LSTM feature representations and multilingual word embedding, and evaluates the results on mono- and multilingual data. The results are similar in all cases, with a slightly better results achieved using multilingual data. The languages under investigation are Komi-Zyrian and Russian. Examination of the results by relation type shows that some language specific constructions are correctly recognized even when they appear in naturally occurring code-switching data.

KW - 6121 Languages

M3 - Conference contribution

SP - 1

EP - 17

BT - Proceedings of the 4th International Workshop on Computational Linguistics for Uralic languages

PB - The Association for Computational Linguistics

T2 - International Workshop for Computational Linguistics of Uralic Languages

Y2 - 8 January 2018 through 9 January 2018

ER -

Dependency parsing of code-switching data with cross-lingual feature representations

Abstrakti

Tieteenalat

Pääsy asiakirjaan

Aktiviteetit

Laboratoire Lattice – École Normale Supérieure

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