Official thesis title: Enhancing the quality of Machine Translation System Using Cross-Lingual Word Embedding Models 10.. Conduct experiments on 3 models of Cross-Lingual Word Embedding
Trang 1VIETNAM NATIONAL UNIVERSITY, HANOI
UNIVERSITY OF TECHNOLOGY AND ENGINEERING
SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom – Happiness
INFORMATION ON MASTER’S THESIS
5 Admission decision number: 393/QĐ-ĐT Dated 21/06/2016
6 Changes in academic process: Change thesis title
7 Official thesis title: Enhancing the quality of Machine Translation System Using Cross-Lingual Word Embedding Models
10 Supervisors: Associate Professor Nguyen Phuong Thai
11 Summary of the findings of the thesis:
My thesis has obtained the following results:
1 Conduct experiments on 3 models of Cross-Lingual Word Embedding to
select the most appropriate for English and Vietnamese-Japanese language pairs
2 Based on the Cross-Lingual Word Embedding models, we propose a model
to improve the quality of the phrase-table in the Phrase-based Machine Translation System
3 Based on the Cross-Lingual Word Embedding models, we propose a model
to address the unknown words problem in Neural Machine Translation system
4 Results of our experiments shown that the two proposed models enhance the
quality of the machine translation systems
12 Practical applicability, if any:
The results of our experiments on English and Vietnamese-Japanese language pairs indicated that our methods enhance the quality of both
Phrase-based Machine Translation system and Neural Machine Translation system
Therefore, our methods can be integrated into the state-of-the-art machine
translation system to improve the quality of the translation
Trang 213 Further research directions, if any:
In future work, we will focus more deeply on the Vietnamese-Japanese language pair, collect more Vietnamese-Japanese bilingual data, implement a transliteration model for Vietnamese-Japanese, etc to be able to build a good machine translation system for Vietnamese-Japanese
14 Thesis-related publications:
Minh-Thuan Nguyen, Van-Tan Bui, Huy-Hien Vu, Phuong-Thai Nguyen, Chi-Mai Luong, Enhancing the quality of Phrase-table in Statistical Machine Translation for Less-Common and Low-Resource Languages, in the 2018 International Conference on Asian Language Processing (IALP 2018)
Date: 18/10/2018
Signature:………
Full name: ………
Date: 18/10/2018 Signature: ……… Full name: ………