A statistical approach to machine translation
Computational Linguistics
An efficient context-free parsing algorithm
Communications of the ACM
Computational Complexity and Natural Language
Computational Complexity and Natural Language
The Theory of Parsing, Translation, and Compiling
The Theory of Parsing, Translation, and Compiling
The mathematics of statistical machine translation: parameter estimation
Computational Linguistics - Special issue on using large corpora: II
Stochastic inversion transduction grammars and bilingual parsing of parallel corpora
Computational Linguistics
Improving Chinese tokenization with linguistic filters on statistical lexical acquisition
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
An algorithm for simultaneously bracketing parallel texts by aligning words
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Aligning a parallel English-Chinese corpus statistically with lexical criteria
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A polynomial-time algorithm for statistical machine translation
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Unit Completion for a Computer-aided Translation Typing System
Machine Translation
Unit completion for a computer-aided translation typing system
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Towards a unified approach to memory- and statistical-based machine translation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
The Alignment Template Approach to Statistical Machine Translation
Computational Linguistics
Statistical machine translation by parsing
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Word sense disambiguation vs. statistical machine translation
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Some computational complexity results for synchronous context-free grammars
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A Structure-Based Model for Chinese Organization Name Translation
ACM Transactions on Asian Language Information Processing (TALIP)
Statistical machine translation
ACM Computing Surveys (CSUR)
The Use of a Hybrid Machine Translation System in China's Government Portals
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Unsupervised multilingual learning for POS tagging
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
SSST '09 Proceedings of the Third Workshop on Syntax and Structure in Statistical Translation
Dependency-based statistical machine translation
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Unsupervised multilingual grammar induction
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
Multilingual part-of-speech tagging: two unsupervised approaches
Journal of Artificial Intelligence Research
Exploiting syntactic relationships in a phrase-based decoder: an exploration
Machine Translation
Unsupervised multilingual learning
Unsupervised multilingual learning
Survey: Weighted Extended Top-down Tree Transducers Part II—Application in Machine Translation
Fundamenta Informaticae - Non-Classical Models of Automata and Applications II
Natural Language Engineering
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We introduce a stochastic grammatical channel model for machine translation, that synthesizes several desirable characteristics of both statistical and grammatical machine translation. As with the pure statistical translation model described by Wu (1996) (in which a bracketing transduction grammar models the channel), alternative hypotheses compete probabilistically, exhaustive search of the translation hypothesis space can be performed in polynomial time, and robustness heuristics arise naturally from a language-independent inversion-transduction model. However, unlike pure statistical translation models, the generated output string is guaranteed to conform to a given target grammar. The model employs only (1) a translation lexicon, (2) a context-free grammar for the target language, and (3) a bigram language model. The fact that no explicit bilingual translation rules are used makes the model easily portable to a variety of source languages. Initial experiments show that it also achieves significant speed gains over our earlier model.