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The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval
When performing cross-language information retrieval (CLIR) for lower-resourced languages, a common approach is to retrieve over the output of machine translation (MT).
Generalized Weak Supervision for Neural Information Retrieval
To address this issue, one can train NRMs via weak supervision, where a large dataset is automatically generated using an existing ranking model (called the weak labeler) for training NRMs.
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