Multilingual Machine Comprehension in English Hindi
1 papers with code • 1 benchmarks • 2 datasets
Multilingual Machine Comprehension (MMC) is a Question-Answering (QA) sub-task that involves quoting the answer for a question from a given snippet, where the question and the snippet can be in different languages. Results on an extended version of the recently released XQuAD dataset, which we propose to use as the evaluation benchmark for future research.
Benchmarks
These leaderboards are used to track progress in Multilingual Machine Comprehension in English Hindi
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Belebele
Visiting Card | ID Card Images | Hindi-English
Most implemented papers
BERT Based Multilingual Machine Comprehension in English and Hindi
somiltg/bert
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We, therefore, present in this article, our experiments with m-BERT for MMC in zero-shot, mono-lingual (e. g. Hindi Question-Hindi Snippet) and cross-lingual (e. g. English QuestionHindi Snippet) fine-tune setups.
