MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages

Marta Bañón; Miquel Esplà-Gomis; Mikel L. Forcada; Cristian García-Romero; Taja Kuzman; Nikola Ljubešić; Rik van Noord; Leopoldo Pla Sempere; Gema Ramírez-Sánchez; Peter Rupnik; Vít Suchomel; Antonio Toral; Tobias van der Werff; Jaume Zaragoza

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages

Marta Bañón, Miquel Esplà-Gomis^*, Mikel L. Forcada^*, Cristian García-Romero^*, Taja Kuzman, Nikola Ljubešić, Rik van Noord, Leopoldo Pla Sempere^*, Gema Ramírez-Sánchez, Peter Rupnik, Vít Suchomel, Antonio Toral, Tobias van der Werff, Jaume Zaragoza

^*Corresponding author for this work

Computational Linguistics (CL)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

19 Citations (Scopus)

154 Downloads (Pure)

Abstract

We introduce the project MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages. The approach followed consists of crawling large amounts of textual data from selected top-level domains of the Internet, and then applying a curation and enrichment pipeline. In addition to corpora, the project will release the free/open-source web crawling and curation software used.

Original language	English
Title of host publication	EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Editors	Lieve Macken, Andrew Rufener, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne, Loic Barrault, Marta R. Costa-Jussa, Ellie Kemp, Spyridon Pilos, Christophe Declercq, Christophe Declercq, Maarit Koponen, Mikel L. Forcada, Carolina Scarton, Helena Moniz
Publisher	European Association for Machine Translation
Pages	303-304
Number of pages	2
ISBN (Electronic)	9789464597622
Publication status	Published - 2022
Event	23rd Annual Conference of the European Association for Machine Translation, EAMT 2022 - Ghent, Belgium Duration: 1-Jun-2022 → 3-Jun-2022

Conference

Conference	23rd Annual Conference of the European Association for Machine Translation, EAMT 2022
Country/Territory	Belgium
City	Ghent
Period	01/06/2022 → 03/06/2022

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Bañón, M., Esplà-Gomis, M., Forcada, M. L., García-Romero, C., Kuzman, T., Ljubešić, N., van Noord, R., Sempere, L. P., Ramírez-Sánchez, G., Rupnik, P., Suchomel, V., Toral, A., van der Werff, T., & Zaragoza, J. (2022). MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. In L. Macken, A. Rufener, J. Van den Bogaert, J. Daems, A. Tezcan, B. Vanroy, M. Fonteyne, L. Barrault, M. R. Costa-Jussa, E. Kemp, S. Pilos, C. Declercq, C. Declercq, M. Koponen, M. L. Forcada, C. Scarton, & H. Moniz (Eds.), EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation (pp. 303-304). European Association for Machine Translation.

Bañón, Marta ; Esplà-Gomis, Miquel ; Forcada, Mikel L. et al. / MaCoCu : Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. editor / Lieve Macken ; Andrew Rufener ; Joachim Van den Bogaert ; Joke Daems ; Arda Tezcan ; Bram Vanroy ; Margot Fonteyne ; Loic Barrault ; Marta R. Costa-Jussa ; Ellie Kemp ; Spyridon Pilos ; Christophe Declercq ; Christophe Declercq ; Maarit Koponen ; Mikel L. Forcada ; Carolina Scarton ; Helena Moniz. European Association for Machine Translation, 2022. pp. 303-304

@inproceedings{685514a8947e44f983cf90356c5f1684,

title = "MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages",

abstract = "We introduce the project MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages. The approach followed consists of crawling large amounts of textual data from selected top-level domains of the Internet, and then applying a curation and enrichment pipeline. In addition to corpora, the project will release the free/open-source web crawling and curation software used.",

author = "Marta Ba{\~n}{\'o}n and Miquel Espl{\`a}-Gomis and Forcada, {Mikel L.} and Cristian Garc{\'i}a-Romero and Taja Kuzman and Nikola Ljube{\v s}i{\'c} and {van Noord}, Rik and Sempere, {Leopoldo Pla} and Gema Ram{\'i}rez-S{\'a}nchez and Peter Rupnik and V{\'i}t Suchomel and Antonio Toral and {van der Werff}, Tobias and Jaume Zaragoza",

note = "Funding Information: This action has received funding from the European Union's Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. INEA/CEF/ICT/A2020/2278341. The contents of this publication are the sole responsibility of its authors and do not necessarily reflect the opinion of the European Union. Funding Information: We introduce the project MaCoCu: Mas sive collection and curation of monolin gual and bilingual data: focus on under-resourced languages, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages. The approach followed consists of crawling large amounts of textual data from selected top-level domains of the Internet, and then applying a curation and enrichment pipeline. In addition to corpora, the project will release the free/open-source web crawling and curation software used. Funding Information: This action has received funding from the European Union{\textquoteright}s Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. Publisher Copyright: {\textcopyright} 2022 The authors.; 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022 ; Conference date: 01-06-2022 Through 03-06-2022",

year = "2022",

language = "English",

pages = "303--304",

editor = "Lieve Macken and Andrew Rufener and {Van den Bogaert}, Joachim and Joke Daems and Arda Tezcan and Bram Vanroy and Margot Fonteyne and Loic Barrault and Costa-Jussa, {Marta R.} and Ellie Kemp and Spyridon Pilos and Christophe Declercq and Christophe Declercq and Maarit Koponen and Forcada, {Mikel L.} and Carolina Scarton and Helena Moniz",

booktitle = "EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",

publisher = "European Association for Machine Translation",

}

Bañón, M, Esplà-Gomis, M, Forcada, ML, García-Romero, C, Kuzman, T, Ljubešić, N, van Noord, R, Sempere, LP, Ramírez-Sánchez, G, Rupnik, P, Suchomel, V, Toral, A, van der Werff, T & Zaragoza, J 2022, MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. in L Macken, A Rufener, J Van den Bogaert, J Daems, A Tezcan, B Vanroy, M Fonteyne, L Barrault, MR Costa-Jussa, E Kemp, S Pilos, C Declercq, C Declercq, M Koponen, ML Forcada, C Scarton & H Moniz (eds), EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. European Association for Machine Translation, pp. 303-304, 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022, Ghent, Belgium, 01/06/2022.

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. / Bañón, Marta; Esplà-Gomis, Miquel; Forcada, Mikel L. et al.
EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. ed. / Lieve Macken; Andrew Rufener; Joachim Van den Bogaert; Joke Daems; Arda Tezcan; Bram Vanroy; Margot Fonteyne; Loic Barrault; Marta R. Costa-Jussa; Ellie Kemp; Spyridon Pilos; Christophe Declercq; Christophe Declercq; Maarit Koponen; Mikel L. Forcada; Carolina Scarton; Helena Moniz. European Association for Machine Translation, 2022. p. 303-304.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - MaCoCu

T2 - 23rd Annual Conference of the European Association for Machine Translation, EAMT 2022

AU - Bañón, Marta

AU - Esplà-Gomis, Miquel

AU - Forcada, Mikel L.

AU - García-Romero, Cristian

AU - Kuzman, Taja

AU - Ljubešić, Nikola

AU - van Noord, Rik

AU - Sempere, Leopoldo Pla

AU - Ramírez-Sánchez, Gema

AU - Rupnik, Peter

AU - Suchomel, Vít

AU - Toral, Antonio

AU - van der Werff, Tobias

AU - Zaragoza, Jaume

N1 - Funding Information: This action has received funding from the European Union's Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. INEA/CEF/ICT/A2020/2278341. The contents of this publication are the sole responsibility of its authors and do not necessarily reflect the opinion of the European Union. Funding Information: We introduce the project MaCoCu: Mas sive collection and curation of monolin gual and bilingual data: focus on under-resourced languages, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages. The approach followed consists of crawling large amounts of textual data from selected top-level domains of the Internet, and then applying a curation and enrichment pipeline. In addition to corpora, the project will release the free/open-source web crawling and curation software used. Funding Information: This action has received funding from the European Union’s Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. Publisher Copyright: © 2022 The authors.

PY - 2022

Y1 - 2022

N2 - We introduce the project MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages. The approach followed consists of crawling large amounts of textual data from selected top-level domains of the Internet, and then applying a curation and enrichment pipeline. In addition to corpora, the project will release the free/open-source web crawling and curation software used.

AB - We introduce the project MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages, funded by the Connecting Europe Facility, which is aimed at building monolingual and parallel corpora for under-resourced European languages. The approach followed consists of crawling large amounts of textual data from selected top-level domains of the Internet, and then applying a curation and enrichment pipeline. In addition to corpora, the project will release the free/open-source web crawling and curation software used.

UR - http://www.scopus.com/inward/record.url?scp=85137715124&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85137715124

SP - 303

EP - 304

BT - EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation

A2 - Macken, Lieve

A2 - Rufener, Andrew

A2 - Van den Bogaert, Joachim

A2 - Daems, Joke

A2 - Tezcan, Arda

A2 - Vanroy, Bram

A2 - Fonteyne, Margot

A2 - Barrault, Loic

A2 - Costa-Jussa, Marta R.

A2 - Kemp, Ellie

A2 - Pilos, Spyridon

A2 - Declercq, Christophe

A2 - Koponen, Maarit

A2 - Forcada, Mikel L.

A2 - Scarton, Carolina

A2 - Moniz, Helena

PB - European Association for Machine Translation

Y2 - 1 June 2022 through 3 June 2022

ER -

Bañón M, Esplà-Gomis M, Forcada ML, García-Romero C, Kuzman T, Ljubešić N et al. MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages. In Macken L, Rufener A, Van den Bogaert J, Daems J, Tezcan A, Vanroy B, Fonteyne M, Barrault L, Costa-Jussa MR, Kemp E, Pilos S, Declercq C, Declercq C, Koponen M, Forcada ML, Scarton C, Moniz H, editors, EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation. European Association for Machine Translation. 2022. p. 303-304

MaCoCu: Massive collection and curation of monolingual and bilingual data: focus on under-resourced languages

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