An Efficient, Probabilistically Sound Algorithm for Segmentation andWord Discovery
Machine Learning - Special issue on natural language learning
A technique for computer detection and correction of spelling errors
Communications of the ACM
A statistical model for word discovery in transcribed speech
Computational Linguistics
Computational Linguistics
An English-Korean transliteration model using pronunciation and contextual rules
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
An improved error model for noisy channel spelling correction
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Backward machine transliteration by learning phonetic similarity
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Translating names and technical terms in Arabic text
Semitic '98 Proceedings of the Workshop on Computational Approaches to Semitic Languages
Multilingual modeling of cross-lingual spelling variants
Information Retrieval
Induction of cross-language affix and letter sequence correspondence
CrossLangInduction '06 Proceedings of the International Workshop on Cross-Language Knowledge Induction
Japanese query alteration based on semantic similarity
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Discriminative substring decoding for transliteration
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Discovery of term variation in Japanese web search queries
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Fast decoding and easy implementation: transliteration as sequential labeling
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Transliteration for Resource-Scarce Languages
ACM Transactions on Asian Language Information Processing (TALIP)
Machine transliteration survey
ACM Computing Surveys (CSUR)
Direct combination of spelling and pronunciation information for robust back-transliteration
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
| Hi-index | 0.00 |
Transliterating words and names from one language to another is a frequent and highly productive phenomenon. Transliteration is information losing since important distinctions are not preserved in the process. Hence, automatically converting transliterated words back into their original form is a real challenge. In addition, due to its wide applicability in MT and CLIR, it is an interesting problem from a practical point of view. In this paper, we propose a new method, combining the transliterated string segmentation module with phoneme-based and grapheme-based transliteration modules in order to enhance the back-transliterations of Japanese words. Our experiments show significant improvements achieved by the hybrid approach.