James Cross | DeepAI

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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...

0 Simeng Sun, et al. ∙

∙ 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...

9 NLLB team, et al. ∙

∙ 06/05/2022

Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders

Recent work in multilingual translation advances translation quality sur...

27 Xiang Kong, et al. ∙

∙ 05/22/2022

Multilingual Machine Translation with Hyper-Adapters

Multilingual machine translation suffers from negative interference acro...

0 Christos Baziotis, et al. ∙

∙ 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...

4 Jonas Pfeiffer, et al. ∙

∙ 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...

2 Shiyue Zhang, et al. ∙

∙ 03/25/2022

Data Selection Curriculum for Neural Machine Translation

Neural Machine Translation (NMT) models are typically trained on heterog...

10 Tasnim Mohiuddin, et al. ∙

∙ 10/15/2021

Tricks for Training Sparse Translation Models

Multi-task learning with an unbalanced data distribution skews model lea...

8 Dheeru Dua, et al. ∙

∙ 10/15/2021

Alternative Input Signals Ease Transfer in Multilingual Machine Translation

Recent work in multilingual machine translation (MMT) has focused on the...

0 Simeng Sun, et al. ∙

∙ 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...

0 Shuo Sun, et al. ∙

∙ 08/06/2021

Facebook AI WMT21 News Translation Task Submission

We describe Facebook's multilingual model submission to the WMT2021 shar...

0 Chau Tran, et al. ∙

∙ 06/22/2021

On the Evaluation of Machine Translation for Terminology Consistency

As neural machine translation (NMT) systems become an important part of ...

0 Md Mahfuz ibn Alam, et al. ∙

∙ 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...

0 Ahmed El-Kishky, et al. ∙

∙ 12/30/2020

Improving Zero-Shot Translation by Disentangling Positional Information

Multilingual neural machine translation has shown the capability of dire...

6 Danni Liu, et al. ∙

∙ 08/23/2020

Learn to Talk via Proactive Knowledge Transfer

Knowledge Transfer has been applied in solving a wide variety of problem...

4 Qing Sun, et al. ∙

∙ 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...

0 Jungo Kasai, et al. ∙

∙ 01/15/2020

Parallel Machine Translation with Disentangled Context Transformer

State-of-the-art neural machine translation models generate a translatio...

0 Jungo Kasai, et al. ∙

∙ 09/26/2019

Monotonic Multihead Attention

Simultaneous machine translation models start generating a target sequen...

0 Xutai Ma, et al. ∙

∙ 09/01/2018

Simple Fusion: Return of the Language Model

Neural Machine Translation (NMT) typically leverages monolingual data in...

0 Felix Stahlberg, et al. ∙

∙ 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 ...

0 James Cross, et al. ∙

∙ 06/21/2016

Incremental Parsing with Minimal Features Using Bi-Directional LSTM

Recently, neural network approaches for parsing have largely automated t...

0 James Cross, et al. ∙

∙ 11/19/2015

Good, Better, Best: Choosing Word Embedding Context

We propose two methods of learning vector representations of words and p...

0 James Cross, et al. ∙

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