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Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual transfer and Beyond #27

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flrngel opened this issue Jan 10, 2019 · 0 comments

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flrngel commented Jan 10, 2019 •

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http://arxiv.org/abs/1812.10464

Notes

Model learn joint multilingual sentence representations

Pre-training techniques

using Moses tools

punctuation normalization
non printing chars removal
Tokenization

Paper summary

this paper introduces new dataset using tatoeba for language similarity search
- covers 122 languages
- consists 1,000 English-aligned sentence pairs for each language
enables to use sentence embedding with English annotated only, and transfer to other languages without any modifications

flrngel added Zero-Shot NMT labels

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