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05/19/2023
XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages
Data scarcity is a crucial issue for the development of highly multiling...
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05/17/2023
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM's Translation Capability
Large, multilingual language models exhibit surprisingly good zero- or f...
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02/02/2023
The unreasonable effectiveness of few-shot learning for machine translation
We demonstrate the potential of few-shot translation systems, trained wi...
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11/16/2022
Prompting PaLM for Translation: Assessing Strategies and Performance
Large language models (LLMs) that have been trained on multilingual but ...
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03/24/2022
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation
End-to-end speech-to-speech translation (S2ST) without relying on interm...
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03/21/2022
XTREME-S: Evaluating Cross-lingual Speech Representations
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingu...
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02/04/2022
Data Scaling Laws in NMT: The Effect of Noise and Architecture
In this work, we study the effect of varying the architecture and traini...
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02/03/2022
mSLAM: Massively multilingual joint pre-training for speech and text
We present mSLAM, a multilingual Speech and LAnguage Model that learns c...
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12/16/2021
Can Multilinguality benefit Non-autoregressive Machine Translation?
Non-autoregressive (NAR) machine translation has recently achieved signi...
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09/16/2021
Scaling Laws for Neural Machine Translation
We present an empirical study of scaling properties of encoder-decoder T...
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04/12/2021
Assessing Reference-Free Peer Evaluation for Machine Translation
Reference-free evaluation has the potential to make machine translation ...
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10/21/2020
Sentence Boundary Augmentation For Neural Machine Translation Robustness
Neural Machine Translation (NMT) models have demonstrated strong state o...
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10/20/2020
Human-Paraphrased References Improve Neural Machine Translation
Automatic evaluation comparing candidate translations to human-generated...
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10/05/2020
Inference Strategies for Machine Translation with Conditional Masking
Conditional masked language model (CMLM) training has proven successful ...
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04/07/2020
Re-translation versus Streaming for Simultaneous Translation
There has been great progress in improving streaming machine translation...
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12/06/2019
Re-Translation Strategies For Long Form, Simultaneous, Spoken Language Translation
We investigate the problem of simultaneous machine translation of long-f...
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07/11/2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges
We introduce our efforts towards building a universal neural machine tra...
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06/12/2019
Monotonic Infinite Lookback Attention for Simultaneous Machine Translation
Simultaneous machine translation begins to translate each source sentenc...
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05/31/2019
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation
Simultaneous machine translation attempts to translate a source sentence...
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02/28/2019
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
We consider the problem of making efficient use of heterogeneous trainin...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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01/31/2019
Shaping the Narrative Arc: An Information-Theoretic Approach to Collaborative Dialogue
We consider the problem of designing an artificial agent capable of inte...
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09/30/2018
Efficient Sequence Labeling with Actor-Critic Training
Neural approaches to sequence labeling often use a Conditional Random Fi...
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08/29/2018
Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Translating characters instead of words or word-fragments has the potent...
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04/24/2017
A Challenge Set Approach to Evaluating Machine Translation
Neural machine translation represents an exciting leap forward in transl...
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04/19/2017