The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks

Yves Scherrer; Stig-Arne Grönroos; Sami Virpioja

The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks

Yves Scherrer, Stig-Arne Grönroos, Sami Virpioja

Kieliteknologia

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

Abstrakti

This paper describes the joint participation of University of Helsinki and Aalto University to two shared tasks of WMT 2020: the news translation between Inuktitut and English and the low-resource translation between German and Upper Sorbian. For both tasks, our efforts concentrate on efficient use of monolingual and related bilingual corpora with scheduled multi-task learning as well as an optimized subword segmentation with sampling. Our submission obtained the highest score for Upper Sorbian -> German and was ranked second for German -> Upper Sorbian according to BLEU scores. For English-Inuktitut, we reached ranks 8 and 10 out of 11 according to BLEU scores.

Alkuperäiskieli	englanti
Otsikko	Proceedings of the Fifth Conference on Machine Translation
Toimittajat	Loïc Barrault [et al.]
Sivumäärä	10
Julkaisupaikka	Stroudsburg
Kustantaja	The Association for Computational Linguistics
Julkaisupäivä	1 marrask. 2020
Sivut	1129-1138
ISBN (painettu)	978-1-948087-81-0
Tila	Julkaistu - 1 marrask. 2020
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	Conference on Machine Translation - [Online conference] Kesto: 19 marrask. 2020 → 20 marrask. 2020 Konferenssinumero: 5 http://www.statmt.org/wmt20/

Tieteenalat

6121 Kielitieteet

Pääsy asiakirjaan

2020.wmt-1.134Lopullinen julkaistu versio, 305 KBLisenssi: CC BY

https://www.aclweb.org/anthology/2020.wmt-1.134Lisenssi: CC BY

FoTran: Found in Translation - Natural Language Understanding with Cross-Lingual Grounding
Tiedemann, J. (Projektinjohtaja), Attieh, J. (osallistuja), Aulamo, M. (osallistuja), Celikkanat, H. (osallistuja), De Gibert Bonet, O. (osallistuja), Grönroos, S.-A. (osallistuja), Mickus, T. (osallistuja), Raganato, A. (osallistuja), Scherrer, Y. (osallistuja), Silfverberg, M. (osallistuja), Sjöblom, E. I. (osallistuja), Talman, A. (osallistuja), Vazquez , R. (osallistuja), Virpioja, S. P. (osallistuja), Yli-Jyrä, A. (osallistuja), Zosa, E. (osallistuja), Celikkanat, H. (Osallistuja), Raganato, A. (Osallistuja), Silfverberg, M. (Osallistuja), Sulubacak, U. (Osallistuja) & Vazquez , R. (Osallistuja)
01/09/2018 → 31/03/2024
Projekti: EU Horizon 2020: European Research Council: Consolidator Grant (H2020-ERC-COG)

Siteeraa tätä

Scherrer, Y., Grönroos, S.-A., & Virpioja, S. (2020). The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks. teoksessa L. Barrault [et al.] (Toimittaja), Proceedings of the Fifth Conference on Machine Translation (Sivut 1129-1138). The Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.wmt-1.134

@inproceedings{6a12e131c2334cdcb6d716204f6a96bf,

title = "The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks",

abstract = "This paper describes the joint participation of University of Helsinki and Aalto University to two shared tasks of WMT 2020: the news translation between Inuktitut and English and the low-resource translation between German and Upper Sorbian. For both tasks, our efforts concentrate on efficient use of monolingual and related bilingual corpora with scheduled multi-task learning as well as an optimized subword segmentation with sampling. Our submission obtained the highest score for Upper Sorbian -> German and was ranked second for German -> Upper Sorbian according to BLEU scores. For English-Inuktitut, we reached ranks 8 and 10 out of 11 according to BLEU scores.",

keywords = "6121 Languages",

author = "Yves Scherrer and Stig-Arne Gr{\"o}nroos and Sami Virpioja",

year = "2020",

month = nov,

day = "1",

language = "English",

isbn = "978-1-948087-81-0",

pages = "1129--1138",

editor = "{ Barrault [et al.]}, Lo{\"i}c",

booktitle = "Proceedings of the Fifth Conference on Machine Translation",

publisher = "The Association for Computational Linguistics",

address = "United States",

note = "Conference on Machine Translation, WMT20 ; Conference date: 19-11-2020 Through 20-11-2020",

url = "http://www.statmt.org/wmt20/",

}

Scherrer, Y , Grönroos, S-A & Virpioja, S 2020, The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks. julkaisussa L Barrault [et al.] (Toimittaja), Proceedings of the Fifth Conference on Machine Translation. The Association for Computational Linguistics, Stroudsburg, Sivut 1129-1138, Conference on Machine Translation, 19/11/2020. <https://www.aclweb.org/anthology/2020.wmt-1.134>

The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks. / Scherrer, Yves ; Grönroos, Stig-Arne ; Virpioja, Sami.
Proceedings of the Fifth Conference on Machine Translation. toim. / Loïc Barrault [et al.]. Stroudsburg: The Association for Computational Linguistics, 2020. s. 1129-1138.

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

TY - GEN

T1 - The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks

AU - Scherrer, Yves

AU - Grönroos, Stig-Arne

AU - Virpioja, Sami

N1 - Conference code: 5

PY - 2020/11/1

Y1 - 2020/11/1

N2 - This paper describes the joint participation of University of Helsinki and Aalto University to two shared tasks of WMT 2020: the news translation between Inuktitut and English and the low-resource translation between German and Upper Sorbian. For both tasks, our efforts concentrate on efficient use of monolingual and related bilingual corpora with scheduled multi-task learning as well as an optimized subword segmentation with sampling. Our submission obtained the highest score for Upper Sorbian -> German and was ranked second for German -> Upper Sorbian according to BLEU scores. For English-Inuktitut, we reached ranks 8 and 10 out of 11 according to BLEU scores.

AB - This paper describes the joint participation of University of Helsinki and Aalto University to two shared tasks of WMT 2020: the news translation between Inuktitut and English and the low-resource translation between German and Upper Sorbian. For both tasks, our efforts concentrate on efficient use of monolingual and related bilingual corpora with scheduled multi-task learning as well as an optimized subword segmentation with sampling. Our submission obtained the highest score for Upper Sorbian -> German and was ranked second for German -> Upper Sorbian according to BLEU scores. For English-Inuktitut, we reached ranks 8 and 10 out of 11 according to BLEU scores.

KW - 6121 Languages

M3 - Conference contribution

SN - 978-1-948087-81-0

SP - 1129

EP - 1138

BT - Proceedings of the Fifth Conference on Machine Translation

A2 - Barrault [et al.], Loïc

PB - The Association for Computational Linguistics

CY - Stroudsburg

T2 - Conference on Machine Translation

Y2 - 19 November 2020 through 20 November 2020

ER -

The University of Helsinki and Aalto University submissions to the WMT 2020 news and low-resource translation tasks

Abstrakti

Tieteenalat

Pääsy asiakirjaan

Projektit

FoTran: Found in Translation - Natural Language Understanding with Cross-Lingual Grounding

Siteeraa tätä