Two-step sequence transformer based method for Cham to Latin script transliteration

Author:

Nguyen Tien-Nam1ORCID,Burie Jean-Christophe1ORCID,Le Thi-Lan2ORCID,Schweyer Anne-Valérie3ORCID

Affiliation:

1. Laboratoire Informatique, Image et Interaction (L3I) - Université de La Rochelle, France

2. School of Electronics and Telecommunications (SEEE), Hanoi University of Science and Technology, Vietnam, Viet Nam

3. Centre Asie du Sud-Est (CASE), CNRS, France

Funder

French Research Agency (ANR)

Publisher

ACM

Reference29 articles.

1. Nasreen AbdulJaleel and Leah Larkey . 2003. English to Arabic transliteration for information retrieval: A statistical approach . Center for Intelligent Information Retrieval Computer Science , University of Massachusetts ( 2003 ). Nasreen AbdulJaleel and Leah Larkey. 2003. English to Arabic transliteration for information retrieval: A statistical approach. Center for Intelligent Information Retrieval Computer Science, University of Massachusetts (2003).

2. Mansur Arbabi , Scott  M Fischthal , Vincent  C Cheng , and Elizabeth Bart . 1994. Algorithms for Arabic name transliteration. IBM Journal of research and Development 38, 2 ( 1994 ), 183–194. Mansur Arbabi, Scott M Fischthal, Vincent C Cheng, and Elizabeth Bart. 1994. Algorithms for Arabic name transliteration. IBM Journal of research and Development 38, 2 (1994), 183–194.

3. Vision Transformer for Fast and Efficient Scene Text Recognition

4. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint:1409.0473 (2014).

5. Rosetta

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