Affiliation:
1. New York University, New York, NY
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.
Publisher
Association for Computing Machinery (ACM)
Cited by
13 articles.
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1. A textual question answering and handwritten answer evaluation system for hindi language;International Journal of Knowledge-based and Intelligent Engineering Systems;2024-01-11
2. Multilingual Chatbot for Indian Languages;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
3. Image Classification with Information Extraction by Evaluating the Text Patterns in Bilingual Documents;Communications in Computer and Information Science;2023
4. Advanced Applications on Bilingual Document Analysis and Processing Systems;Research Anthology on Bilingual and Multilingual Education;2022
5. Advanced Applications on Bilingual Document Analysis and Processing Systems;International Journal of Applied Metaheuristic Computing;2020-10