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Citeseer, proceedings of machine translation summit V, vol\u00a010"},{"key":"10423_CR184","unstructured":"Wiki (2019) Automatic Language Processing Advisory Committee. https:\/\/en.wikipedia.org\/wiki\/ALPAC. Accessed 08 Apr 2022"},{"key":"10423_CR185","unstructured":"Wiki (2019) Long-short term memory. https:\/\/en.wikipedia.org\/wiki\/Long_short-term_memory. Accessed 08 Apr 2022"},{"key":"10423_CR186","unstructured":"Wikimatrix (2022) Mining 135m parallel sentences in 1620 language pairs from wikipedia. https:\/\/github.com\/facebookresearch\/LASER\/tree\/main\/tasks\/WikiMatrix. Accessed 30 Sep 2022"},{"key":"10423_CR187","unstructured":"Wong YW, Mooney R (2007) Learning synchronous grammars for semantic parsing with lambda calculus. 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