KC4MT: A High-Quality Corpus for Multilingual Machine Translation
Vinh Van Nguyen, Ha Nguyen, Huong Thanh Le, Thai Phuong Nguyen, Tan Van Bui, Luan Nghia Pham, Anh Tuan Phan, Cong Hoang-Minh Nguyen, Viet Hong Tran, Anh Huu Tran
Abstract
The multilingual parallel corpus is an important resource for many applications of natural language processing (NLP). For machine translation, the size and quality of the training corpus mainly affects the quality of the translation models. In this work, we present the method for building high-quality multilingual parallel corpus in the news domain and for some low-resource languages, including Vietnamese, Laos, and Khmer, to improve the quality of multilingual machine translation in these areas. We also publicized this one that includes 500.000 Vietnamese-Chinese bilingual sentence pairs; 150.000 Vietnamese-Laos bilingual sentence pairs, and 150.000 Vietnamese-Khmer bilingual sentence pairs.- Anthology ID:
- 2022.lrec-1.588
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 5494–5502
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.588
- DOI:
- Bibkey:
- Cite (ACL):
- Vinh Van Nguyen, Ha Nguyen, Huong Thanh Le, Thai Phuong Nguyen, Tan Van Bui, Luan Nghia Pham, Anh Tuan Phan, Cong Hoang-Minh Nguyen, Viet Hong Tran, and Anh Huu Tran. 2022. KC4MT: A High-Quality Corpus for Multilingual Machine Translation. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5494–5502, Marseille, France. European Language Resources Association.
- Cite (Informal):
- KC4MT: A High-Quality Corpus for Multilingual Machine Translation (Nguyen et al., LREC 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.lrec-1.588.pdf
- Data
- OPUS
Export citation
@inproceedings{nguyen-etal-2022-kc4mt,
title = "{KC}4{MT}: A High-Quality Corpus for Multilingual Machine Translation",
author = "Nguyen, Vinh Van and
Nguyen, Ha and
Le, Huong Thanh and
Nguyen, Thai Phuong and
Bui, Tan Van and
Pham, Luan Nghia and
Phan, Anh Tuan and
Nguyen, Cong Hoang-Minh and
Tran, Viet Hong and
Tran, Anh Huu",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.588",
pages = "5494--5502",
abstract = "The multilingual parallel corpus is an important resource for many applications of natural language processing (NLP). For machine translation, the size and quality of the training corpus mainly affects the quality of the translation models. In this work, we present the method for building high-quality multilingual parallel corpus in the news domain and for some low-resource languages, including Vietnamese, Laos, and Khmer, to improve the quality of multilingual machine translation in these areas. We also publicized this one that includes 500.000 Vietnamese-Chinese bilingual sentence pairs; 150.000 Vietnamese-Laos bilingual sentence pairs, and 150.000 Vietnamese-Khmer bilingual sentence pairs.",
}
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%0 Conference Proceedings %T KC4MT: A High-Quality Corpus for Multilingual Machine Translation %A Nguyen, Vinh Van %A Nguyen, Ha %A Le, Huong Thanh %A Nguyen, Thai Phuong %A Bui, Tan Van %A Pham, Luan Nghia %A Phan, Anh Tuan %A Nguyen, Cong Hoang-Minh %A Tran, Viet Hong %A Tran, Anh Huu %Y Calzolari, Nicoletta %Y Béchet, Frédéric %Y Blache, Philippe %Y Choukri, Khalid %Y Cieri, Christopher %Y Declerck, Thierry %Y Goggi, Sara %Y Isahara, Hitoshi %Y Maegaard, Bente %Y Mariani, Joseph %Y Mazo, Hélène %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Thirteenth Language Resources and Evaluation Conference %D 2022 %8 June %I European Language Resources Association %C Marseille, France %F nguyen-etal-2022-kc4mt %X The multilingual parallel corpus is an important resource for many applications of natural language processing (NLP). For machine translation, the size and quality of the training corpus mainly affects the quality of the translation models. In this work, we present the method for building high-quality multilingual parallel corpus in the news domain and for some low-resource languages, including Vietnamese, Laos, and Khmer, to improve the quality of multilingual machine translation in these areas. We also publicized this one that includes 500.000 Vietnamese-Chinese bilingual sentence pairs; 150.000 Vietnamese-Laos bilingual sentence pairs, and 150.000 Vietnamese-Khmer bilingual sentence pairs. %U https://aclanthology.org/2022.lrec-1.588 %P 5494-5502
Markdown (Informal)
[KC4MT: A High-Quality Corpus for Multilingual Machine Translation](https://aclanthology.org/2022.lrec-1.588) (Nguyen et al., LREC 2022)
- KC4MT: A High-Quality Corpus for Multilingual Machine Translation (Nguyen et al., LREC 2022)
ACL
- Vinh Van Nguyen, Ha Nguyen, Huong Thanh Le, Thai Phuong Nguyen, Tan Van Bui, Luan Nghia Pham, Anh Tuan Phan, Cong Hoang-Minh Nguyen, Viet Hong Tran, and Anh Huu Tran. 2022. KC4MT: A High-Quality Corpus for Multilingual Machine Translation. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 5494–5502, Marseille, France. European Language Resources Association.