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20172026
most citedA neural interlingua for multilingual machine translation

22 citations · 50 across the 10 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 1 cited

Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings

Phillip Keung, Julian Salazar, Yichao Lu +1

We describe an unsupervised method to create pseudo-parallel corpora for machine translation (MT) from unaligned text. We use multilingual BERT to create source and target sentence…

cs.CL2020

The Multilingual Amazon Reviews Corpus

Phillip Keung, Yichao Lu, György Szarvas +1

We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification. The corpus contains reviews in English, J…

cs.CL2020★ 4 cited

Improving Non-autoregressive Neural Machine Translation with Monolingual Data

Jiawei Zhou, Phillip Keung

Non-autoregressive (NAR) neural machine translation is usually done via knowledge distillation from an autoregressive (AR) model. Under this framework, we leverage large monolingua…

cs.CL2020

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings

Phillip Keung, Yichao Lu, Julian Salazar +1

Multilingual contextual embeddings have demonstrated state-of-the-art performance in zero-shot cross-lingual transfer learning, where multilingual BERT is fine-tuned on one source…

eess.AS2020★ 5 cited

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances

Phillip Keung, Wei Niu, Yichao Lu +2

We discuss the problem of echographic transcription in autoregressive sequence-to-sequence attentional architectures for automatic speech recognition, where a model produces very l…