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SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom – Happiness VIETNAM NATIONAL UNIVERSITY, HANOI UNIVERSITY OF TECHNOLOGY AND ENGINEERING INFORMATION ON MASTER’S THESIS Full name: Nguyen Minh Thuan Sex: Male Date of birth: 25/05/1993 Place of birth: Hanoi Admission decision number: 393/QĐ-ĐT Dated 21/06/2016 Changes in academic process: Change thesis title Official thesis title: Enhancing the quality of Machine Translation System Using CrossLingual Word Embedding Models Major: Computer Science Code: 8480101.01 10 Supervisors: Associate Professor Nguyen Phuong Thai 11 Summary of the findings of the thesis: My thesis has obtained the following results: Conduct experiments on models of Cross-Lingual Word Embedding to select the most appropriate for Vietnamese-English and VietnameseJapanese language pairs 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 Based on the Cross-Lingual Word Embedding models, we propose a model to address the unknown words problem in Neural Machine Translation system 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 Vietnamese-English and VietnameseJapanese 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 13 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 Date: 18/10/2018 Signature:……………… Signature: ………………… Full name: ……………… Full name: ……………… ... 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