Simulating CLIR Translation Resource Scarcity using High-resource Languages

Author:

Bonab Hamed1,Allan James1,Sitaraman Ramesh1

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Funder

Raytheon Company

Air Force Research Laboratory

Publisher

ACM

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Query in Your Tongue: Reinforce Large Language Models with Retrievers for Cross-lingual Search Generative Experience;Proceedings of the ACM Web Conference 2024;2024-05-13

2. A Topic-aware Summarization Framework with Different Modal Side Information;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

3. Improving Cross-lingual Information Retrieval on Low-Resource Languages via Optimal Transport Distillation;Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining;2023-02-27

4. Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval;Proceedings of the 30th ACM International Conference on Information & Knowledge Management;2021-10-26

5. Training Effective Neural CLIR by Bridging the Translation Gap;Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval;2020-07-25

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