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» Statistical Language Models for Information Retrieval
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SIGIR
2012
ACM
11 years 9 months ago
Looking inside the box: context-sensitive translation for cross-language information retrieval
Cross-language information retrieval (CLIR) today is dominated by techniques that use token-to-token mappings from bilingual dictionaries. Yet, state-of-the-art statistical transl...
Ferhan Türe, Jimmy J. Lin, Douglas W. Oard
SIGIR
2003
ACM
14 years 18 days ago
Beyond independent relevance: methods and evaluation metrics for subtopic retrieval
We present a non-traditional retrieval problem we call subtopic retrieval. The subtopic retrieval problem is concerned with finding documents that cover many different subtopics ...
ChengXiang Zhai, William W. Cohen, John D. Laffert...
CLEF
2005
Springer
14 years 27 days ago
Applying Light Natural Language Processing to Ad-Hoc Cross Language Information Retrieval
In the CLEF 2005 Ad-Hoc Track we experimented with language-specific morphosyntactic processing and light Natural Language Processing (NLP) for the retrieval of Bulgarian, French,...
Christina Lioma, Craig Macdonald, Ben He, Vassilis...
CORR
2010
Springer
141views Education» more  CORR 2010»
13 years 7 months ago
A database approach to information retrieval: The remarkable relationship between language models and region models
In this report, we unify two quite distinct approaches to information retrieval: region models and language models. Region models were developed for structured document retrieval....
Djoerd Hiemstra, Vojkan Mihajlovic
ACL
2011
12 years 11 months ago
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
Deyi Xiong, Min Zhang, Haizhou Li