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SIGIR
2002
ACM
14 years 9 months ago
Improving stemming for Arabic information retrieval: light stemming and co-occurrence analysis
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stemming has emerged. We developed several light stemm...
Leah S. Larkey, Lisa Ballesteros, Margaret E. Conn...
IALP
2010
14 years 4 months ago
Hierarchical Pitman-Yor Language Model for Machine Translation
The hierarchical Pitman-Yor process-based smoothing method applied to language model was proposed by Goldwater and by Teh; the performance of this smoothing method is shown compara...
Tsuyoshi Okita, Andy Way
ACL
1998
14 years 11 months ago
Machine Translation with a Stochastic Grammatical Channel
We introduce a stochastic grammatical channel model for machine translation, that synthesizes several desirable characteristics of both statistical and grammatical machine transla...
Dekai Wu, Hongsing Wong
75
Voted
ACL
1996
14 years 11 months ago
Noun-Phrase Analysis in Unrestricted Text for Information Retrieval
Information retrieval is an important application area of natural-language processing where one encounters the genuine challenge of processing large quantities of unrestricted nat...
David A. Evans, ChengXiang Zhai
76
Voted
ACL
2010
14 years 7 months ago
Bitext Dependency Parsing with Bilingual Subtree Constraints
This paper proposes a dependency parsing method that uses bilingual constraints to improve the accuracy of parsing bilingual texts (bitexts). In our method, a targetside tree frag...
Wenliang Chen, Jun'ichi Kazama, Kentaro Torisawa