JOURNAL ARTICLE
Hindi-english cross-lingual question-answering system
Year: 2003 Journal: ACM Transactions on Asian Language Information Processing Vol: 2 (3)Pages: 181-192 Publisher: Association for Computing Machinery
Abstract
We developed a cross-lingual, question-answering (CLQA) system for Hindi and English. It accepts questions in English, finds candidate answers in Hindi newspapers, and translates the answer candidates into English along with the context surrounding each answer. The system was developed as part of the surprise language exercise (SLE) within the TIDES program.
Keywords:
Hindi Computer science Question answering Natural language processing Surprise Context (archaeology) Artificial intelligence Newspaper Information retrieval Linguistics History Psychology Communication Sociology
Metrics
44
Cited By
3.83
FWCI (Field Weighted Citation Impact)
16
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Topic Modeling
Physical Sciences → Computer Science → Artificial Intelligence
Natural Language Processing Techniques
Physical Sciences → Computer Science → Artificial Intelligence
Speech and dialogue systems
Physical Sciences → Computer Science → Artificial Intelligence
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