Bilingual Corpus Mining and Multistage Fine-tuning for Improving Machine Translation of Lecture Transcripts-Reference-Cited by-同舟云学术

Bilingual Corpus Mining and Multistage Fine-tuning for Improving Machine Translation of Lecture Transcripts

Published:2024 Issue:0 Volume:32 Page:628-640
ISSN:1882-6652
Container-title:Journal of Information Processing
language:en
Short-container-title:Journal of Information Processing

Author:

Song Haiyue¹²,Dabre Raj¹,Chu Chenhui²,Fujita Atsushi¹,Kurohashi Sadao²³

Affiliation:

1. National Institute of Information and Communications Technology

2. Kyoto University

3. National Institute of Informatics

Publisher

Information Processing Society of Japan

Link

https://www.jstage.jst.go.jp/article/ipsjjip/32/0/32_628/_pdf

Reference50 articles.

1. [1] Abdelali, A., Guzman, F., Sajjad, H. and Vogel, S.: The AMARA Corpus: Building Parallel Language Resources for the Educational Domain, Proc. 9th International Conference on Language Resources and Evaluation (LREC), pp.1856-1862 (2004) (online), available from <http://www.lrec-conf.org/proceedings/lrec2014/pdf/877_Paper.pdf>.

2. [2] Bahdanau, D., Cho, K. and Bengio, Y.: Neural Machine Translation by Jointly Learning to Align and Translate, Proc. 3rd International Conference on Learning Representations (ICLR) (2015) (online), available from <http://arxiv.org/abs/1409.0473>.

3. [3] Bengio, Y., Louradour, J., Collobert, R. and Weston, J.: Curriculum Learning, Proc. 26th Annual International Conference on Machine Learning, pp.41-48, ACM (2009).

4. [4] Bouamor, H. and Sajjad, H.: H2@BUCC18: Parallel Sentence Extraction from Comparable Corpora Using Multilingual Sentence Embeddings, Proc. 11th Workshop on Building and Using Comparable Corpora, pp.43-47, European Language Resources Association (2018) (online), available from <http://lrec-conf.org/workshops/lrec2018/W8/pdf/8_W8.pdf>.

5. [5] Cettolo, M., Girardi, C. and Federico, M.: Wit³: Web Inventory of Transcribed and Translated Talks, Proc. 16th Conference of European Association for Machine Translation, pp.261-268, European Association for Machine Translation (2012) (online), available from <http://www.mt-archive.info/EAMT-2012-Cettolo.pdf>.