3.5k citations · 5.4k across the 22 of their papers we have counts for
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Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Mikel Artetxe, Holger Schwenk
We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts…
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
Mikel Artetxe, Holger Schwenk
Machine translation is highly sensitive to the size and quality of the training data, which has led to an increasing interest in collecting and filtering large parallel corpora. In…
XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Guillaume Lample, Ruty Rinott +4
State-of-the-art natural language processing systems rely on supervision in the form of annotated data to learn competent models. These models are generally trained on data in a si…
Filtering and Mining Parallel Data in a Joint Multilingual Space
Holger Schwenk
We learn a joint multilingual sentence embedding and use the distance between sentences in different languages to filter noisy parallel data and to mine for parallel data in large…
A Corpus for Multilingual Document Classification in Eight Languages
Holger Schwenk, Xian Li
Cross-lingual document classification aims at training a document classifier on resources in one language and transferring it to a different language without any additional resourc…