natural-language-processing-5
Cross-Lingual Transfer
3260 papers • 126 benchmarks • 313 datasets
Cross-lingual transfer refers to transfer learning using data and models available for one language for which ample such resources are available (e.g., English) to solve tasks in another, commonly more low-resource, language.
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Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Holger Schwenk, Mikel Artetxe•Tue Dec 25 2018
An architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts using a single BiLSTM encoder with a shared byte-pair encoding vocabulary for all languages, coupled with an auxiliary decoder and trained on publicly available parallel corpora.
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