Using Semantic Knowledge in the Uyghur-Chinese Person Name Transliteration
2
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
In this paper, we propose a transliteration approach based on semantic information (i.e., language origin andgender) which are automatically learnt from the person name, aiming to transliterate the person name ofUyghur into Chinese. The proposed approach integrates semantic scores (i.e., performance on languageorigin and gender detection) with general transliteration model and generates the semantic knowledge-basedmodel which can produce the best candidate transliteration results. In the experiment, we use the datasetswhich contain the person names of different language origins: Uyghur and Chinese. The results show that theproposed semantic transliteration model substantially outperforms the general transliteration model andgreatly improves the mean reciprocal rank (MRR) performance on two datasets, as well as aids in developingmore efficient transliteration for named entities.
Abstract
In this paper, we propose a transliteration approach based on semantic information (i.e., language origin andgender) which are automatically learnt from the person name, aiming to transliterate the person name ofUyghur into Chinese. The proposed approach integrates semantic scores (i.e., performance on languageorigin and gender detection) with general transliteration model and generates the semantic knowledge-basedmodel which can produce the best candidate transliteration results. In the experiment, we use the datasetswhich contain the person names of different language origins: Uyghur and Chinese. The results show that theproposed semantic transliteration model substantially outperforms the general transliteration model andgreatly improves the mean reciprocal rank (MRR) performance on two datasets, as well as aids in developingmore efficient transliteration for named entities.
참고문헌 (23)
- R. E. Banchs, "Report of NEWS 2015 machine transliteration shared task", Proceedings of NEWS 2015: The 5th Named Entities Workshop, pp.10~23 (2015)
- W. J. Hutchins, "An Introduction to Machine Translation" (1992), Academic Press
- R. W. Sproat, "Multilingual Text-to-Speech Synthesis: The Bell Labs Approach" (1997), Kluwer Academic Publishers
- C. D. Manning, "Introduction to Information Retrieval" (2008), Cambridge University Press
- K. Kaur, "Review of machine transliteration techniques", International Journal of Computer Applications, 107(20), pp.13~16 (2014)
- Y. Huang, "Nonparametric Bayesian machine transliteration with synchronous adaptor grammars", Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics:Human Language Technologies: short papers-Volume 2, pp.534~539 (2011)
- M. Zhang, "Machine transliteration : leveraging on third languages", Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp.1444~1452 (2010)
- Y. Jia, "A noisy channel model for grapheme-based machine transliteration", Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, pp.88~91 (2009)
- A. Finch, "Phrase-based machine transliteration", Proceedings of the Workshop on Technologies and Corpora for Asia-Pacific Speech Translation (TCAST), pp.13~18 (2008)
- T. Rama, "Modeling machine transliteration as a phrase based statistical machine translation problem", Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, pp.124~127 (2009)
- P. Shishtla, "A language-independent transliteration schema using character aligned models at NEWS 2009", Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, pp.40~43 (2009)
- C. Wutiwiwatchai, "Syllable-based Thai-English machine transliteration", Proceedings of the 2010 Named Entities Workshop, pp.66~70 (2010)
- J. H. Oh, "An ensemble of grapheme and phoneme for machine transliteration", International Conference on Natural Language Processing, pp.450~461 (2005), Springer
- M. Hagiwara, "Latent semantic transliteration using Dirichlet mixture", Proceedings of the 4th Named Entity Workshop, pp.30~37 (2012)
- L. Xu, "Modeling impression in probabilistic transliteration into Chinese", Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, pp.242~249 (2006)
- H. Li, "Semantic transliteration of personal names", Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics, pp.120~127 (2007)
- X. Duan, "Report of NEWS 2016 machine transliteration shared task", Proceedings of NEWS 2016: The 6th Named Entities Workshop, pp.58~72 (2016)
- X. Jiang, "A syllable-based name transliteration system", Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, pp.96~99 (2009)
- M. K. Chinnakotla, "Character sequence modeling for transliteration", Proceedings of 7th International Conference on Natural Language Processing (ICON), pp.1~10 (2009)
- M. M. Khapra, "Improving transliteration accuracy using word-origin detection and lexicon lookup", Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, pp.84~87 (2009)
- H. Surana, "A more discerning and adaptable multilingual transliteration mechanism for Indian languages", Proceedings of the 3rd International Joint Conference on Natural Language Processing, pp.64~71 (2008)
- A. Murat, "Research and implementation of the uyghur-chinese personal name transliteration based on syllabification", Proceedings of 2013 International Conference on Asian Language Processing, pp.71~74 (2013)
- H. Li, "Whitepaper of NEWS 2009 machine transliteration shared task", Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration, pp.19~26 (2009)