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JW300: A Wide-Coverage Parallel Corpus for Low-Resource Languages

2019-07-01ACL 2019Unverified0· sign in to hype

{\v{Z}}eljko Agi{\'c}, Ivan Vuli{\'c}

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Abstract

Viable cross-lingual transfer critically depends on the availability of parallel texts. Shortage of such resources imposes a development and evaluation bottleneck in multilingual processing. We introduce JW300, a parallel corpus of over 300 languages with around 100 thousand parallel sentences per language pair on average. In this paper, we present the resource and showcase its utility in experiments with cross-lingual word embedding induction and multi-source part-of-speech projection.

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