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02/07/2023
Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages
With multilingual machine translation (MMT) models continuing to grow in...
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07/11/2022
No Language Left Behind: Scaling Human-Centered Machine Translation
Driven by the goal of eradicating language barriers on a global scale, m...
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06/05/2022
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders
Recent work in multilingual translation advances translation quality sur...
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05/22/2022
Multilingual Machine Translation with Hyper-Adapters
Multilingual machine translation suffers from negative interference acro...
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05/12/2022
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
Multilingual pre-trained models are known to suffer from the curse of mu...
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04/29/2022
How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training?
A multilingual tokenizer is a fundamental component of multilingual neur...
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03/25/2022
Data Selection Curriculum for Neural Machine Translation
Neural Machine Translation (NMT) models are typically trained on heterog...
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10/15/2021
Tricks for Training Sparse Translation Models
Multi-task learning with an unbalanced data distribution skews model lea...
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10/15/2021
Alternative Input Signals Ease Transfer in Multilingual Machine Translation
Recent work in multilingual machine translation (MMT) has focused on the...
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09/17/2021
Classification-based Quality Estimation: Small and Efficient Models for Real-world Applications
Sentence-level Quality estimation (QE) of machine translation is traditi...
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08/06/2021
Facebook AI WMT21 News Translation Task Submission
We describe Facebook's multilingual model submission to the WMT2021 shar...
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06/22/2021
On the Evaluation of Machine Translation for Terminology Consistency
As neural machine translation (NMT) systems become an important part of ...
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04/17/2021
XLEnt: Mining a Large Cross-lingual Entity Dataset with Lexical-Semantic-Phonetic Word Alignment
Cross-lingual named-entity lexicon are an important resource to multilin...
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12/30/2020
Improving Zero-Shot Translation by Disentangling Positional Information
Multilingual neural machine translation has shown the capability of dire...
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08/23/2020
Learn to Talk via Proactive Knowledge Transfer
Knowledge Transfer has been applied in solving a wide variety of problem...
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06/18/2020
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation
State-of-the-art neural machine translation models generate outputs auto...
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01/15/2020
Parallel Machine Translation with Disentangled Context Transformer
State-of-the-art neural machine translation models generate a translatio...
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09/26/2019
Monotonic Multihead Attention
Simultaneous machine translation models start generating a target sequen...
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09/01/2018
Simple Fusion: Return of the Language Model
Neural Machine Translation (NMT) typically leverages monolingual data in...
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12/20/2016
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
Parsing accuracy using efficient greedy transition systems has improved ...
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06/21/2016
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
Recently, neural network approaches for parsing have largely automated t...
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11/19/2015