Real and complex analysis, 3rd ed.
Real and complex analysis, 3rd ed.
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Querying across languages: a dictionary-based approach to multilingual information retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Phrasal translation and query expansion techniques for cross-language information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
An Introduction to Variational Methods for Graphical Models
Machine Learning
Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Query term disambiguation for Web cross-language information retrieval using a search engine
IRAL '00 Proceedings of the fifth international workshop on on Information retrieval with Asian languages
Improving query translation for cross-language information retrieval using statistical models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Relevance based language models
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
Statistical cross-language information retrieval using n-best query translations
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cross-lingual relevance models
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
Using Statistical Translation Models for Bilingual IR
CLEF '01 Revised Papers from the Second Workshop of the Cross-Language Evaluation Forum on Evaluation of Cross-Language Information Retrieval Systems
Variational methods for inference and estimation in graphical models
Variational methods for inference and estimation in graphical models
Embedding web-based statistical translation models in cross-language information retrieval
Computational Linguistics - Special issue on web as corpus
Using mutual information to resolve query translation ambiguities and query term weighting
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Iterative translation disambiguation for cross-language information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
An automatic translation of tags for multimedia contents using folksonomy networks
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Research on Lesk-C-Based WSD and Its Application in English-Chinese Bi-directional CLIR
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Query Disambiguation Based on Novelty and Similarity User's Feedback
FQAS '09 Proceedings of the 8th International Conference on Flexible Query Answering Systems
Information Processing and Management: an International Journal
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Resolving ambiguity in the process of query translation is crucial to cross-language information retrieval (CLIR), given the short length of queries. This problem is even more challenging when only a bilingual dictionary is available, which is the focus of our work described here. In this paper, we will present a statistical framework for dictionary-based CLIR that estimates the translation probabilities of query words based on the monolingual word co-occurrence statistics. In addition, we will present two realizations of the proposed framework, i.e., the “maximum coherence model” and the “spectral query-translation model,” that exploit different metrics for the coherence measurement between a translation of a query word and the theme of the entire query. Compared to previous work on dictionary-based CLIR, the proposed framework is advantageous in three aspects: (1) Translation probabilities are calculated explicitly to capture the uncertainty in translating queries; (2) translations of all query words are estimated simultaneously rather than independently; and (3) the formulated problem can be solved efficiently with a unique optimal solution. Empirical studies with Chinese--English cross-language information retrieval using TREC datasets have shown that the proposed models achieve a relative 10%--50% improvement, compared to other approaches that also exploit word co-occurrence statistics for query translation disambiguation.