Latent semantic indexing: a probabilistic analysis
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
A systematic comparison of various statistical alignment models
Computational Linguistics
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
Embedding web-based statistical translation models in cross-language information retrieval
Computational Linguistics - Special issue on web as corpus
Introduction to the special issue on computational linguistics using large corpora
Computational Linguistics - Special issue on using large corpora: I
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
Natural Language Engineering
K-vec: a new approach for aligning parallel texts
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Mining the Web for bilingual text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Inducing multilingual POS taggers and NP bracketers via robust projection across aligned corpora
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
A new generation of textual corpora: mining corpora from very large collections
Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
A Two-Level Structure for Compressing Aligned Bitexts
SPIRE '09 Proceedings of the 16th International Symposium on String Processing and Information Retrieval
Generalized biwords for bitext compression and translation spotting
Journal of Artificial Intelligence Research
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Parallel texts have become a vital element for natural language processing. We present a panorama of current research activities related to parallel texts, and offer some thoughts about the future of this rich field of investigation.