Proceedings of the 1992 ACM/IEEE conference on Supercomputing
Word sense disambiguation using a second language monolingual corpus
Computational Linguistics
Translating collocations for bilingual lexicons: a statistical approach
Computational Linguistics
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
WebGALAXY: beyond point and click—a conversational interface to a browser
Selected papers from the sixth international conference on World Wide Web
Resolving ambiguity for cross-language retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Cross-Language Information Retrieval
Cross-Language Information Retrieval
A program for aligning sentences in bilingual corpora
Computational Linguistics - Special issue on using large corpora: I
Retrieving collocations from text: Xtract
Computational Linguistics - Special issue on using large corpora: I
Termight: identifying and translating technical terminology
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
An IR approach for translating new words from nonparallel, comparable texts
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Two languages are more informative than one
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Aligning sentences in parallel corpora
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
An algorithm for finding noun phrase correspondences in bilingual corpora
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Estimating upper and lower bounds on the performance of word-sense disambiguation programs
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Extraction of lexical translations from non-aligned corpora
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
HLT '93 Proceedings of the workshop on Human Language Technology
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Nonlocal language modeling based on context co-occurrence vectors
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
One story, one flow: Hidden Markov Story Models for multilingual multidocument summarization
ACM Transactions on Speech and Language Processing (TSLP)
Multi-level bootstrapping for extracting parallel sentences from a quasi-comparable corpus
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Statistical query translation models for cross-language information retrieval
ACM Transactions on Asian Language Information Processing (TALIP)
Robust word sense translation by EM learning of frame semantics
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
| Hi-index | 0.00 |
We propose a mixed language query disambiguation approach by using co-occurrence information from monolingual data only. A mixed language query consists of words in a primary language and a secondary language. Our method translates the query into monolingual queries in either language. Two novel features for disambiguation, namely contextual word voting and 1-best contextual word, are introduced and compared to a baseline feature, the nearest neighbor. Average query translation accuracy for the two features are 81.37% and 83.72%, compared to the baseline accuracy of 75.50%.