A statistical approach to machine translation
Computational Linguistics
Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Toward memory-based translation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 3
A syntax-based statistical translation model
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Discriminative training and maximum entropy models for statistical machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
BLEU: a method for automatic evaluation of machine translation
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Automatic evaluation of machine translation quality using n-gram co-occurrence statistics
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Learning pronunciation dictionaries: language complexity and word selection strategies
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Proactive learning for building machine translation systems for minority languages
HLT '09 Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Sentence realisation from bag of words with dependency constraints
SRWS '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium
Unsupervised induction of natural language morphology inflection classes
SIGMorPhon '04 Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology
Automated translation of Indian languages
Communications of the ACM - Amir Pnueli: Ahead of His Time
Frontiers in linguistic annotation for lower-density languages
LAC '06 Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora 2006
Quasi-synchronous grammars: alignment by soft projection of syntactic dependencies
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
Stat-XFER: a general search-based syntax-driven framework for machine translation
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Fine-tuning in Brazilian Portuguese--English statistical transfer machine translation: verbal tenses
HLT-SRWS '10 Proceedings of the NAACL HLT 2010 Student Research Workshop
Machine translation between Hebrew and Arabic
Machine Translation
Incorporating linguistic knowledge in statistical machine translation: translating prepositions
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
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We describe an experiment designed to evaluate the capabilities of our trainable transfer-based (Xfer) machine translation approach, as applied to the task of Hindi-to-English translation, and trained under an extremely limited data scenario. We compare the performance of the Xfer approach with two corpus-based approaches---Statistical MT (SMT) and Example-based MT (EBMT)---under the limited data scenario. The results indicate that the Xfer system significantly outperforms both EBMT and SMT in this scenario. Results also indicate that automatically learned transfer rules are effective in improving translation performance, compared with a baseline word-to-word translation version of the system. Xfer system performance with a limited number of manually written transfer rules is, however, still better than the current automatically inferred rules. Furthermore, a "multiengine" version of our system that combined the output of the Xfer and SMT systems and optimizes translation selection outperformed both individual systems.