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2019 ACL ACL 2019

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

Abstract

AbstractViable 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.

🧭 Keyword Pioneer — part-of-speech projection
🐣 Hot Topic Early Bird — low-resource language
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Speech & Audio
🌉 Interdisciplinary Bridge — Interdisciplinary and Machine Learning and Natural Language Processing

Authors

Željko Agić , Ivan Vulić

Topics

Natural Language Processing > Understanding > Part-of-Speech Tagging Natural Language Processing > Applications > Machine Translation Natural Language Processing > Resources & Methods > Multilingual NLP Interdisciplinary > Linguistics > Computational Linguistics Machine Learning > Learning Paradigms > Transfer Learning

Keywords

cross-lingual transfer parallel corpus multilingual processing part-of-speech tagging low-resource language cross-lingual word embedding part-of-speech projection
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