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09/16/2023
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Foundational large language models (LLMs) can be instruction-tuned to de...
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06/06/2023
Iterative Translation Refinement with Large Language Models
Large language models have shown surprising performances in understandin...
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08/31/2022
Efficient Methods for Natural Language Processing: A Survey
Getting the most out of limited resources allows advances in natural lan...
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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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06/01/2022
Exploring Diversity in Back Translation for Low-Resource Machine Translation
Back translation is one of the most widely used methods for improving th...
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10/15/2021
Direct simultaneous speech to speech translation
We present the first direct simultaneous speech-to-speech translation (S...
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09/21/2021
TranslateLocally: Blazing-fast translation running on the local CPU
Every day, millions of people sacrifice their privacy and browsing habit...
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06/01/2021
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation
Is bias amplified when neural machine translation (NMT) models are optim...
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12/31/2020
Exploring Monolingual Data for Neural Machine Translation with Knowledge Distillation
We explore two types of monolingual data that can be included in knowled...
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08/12/2020
Approaching Neural Chinese Word Segmentation as a Low-Resource Machine Translation Task
Supervised Chinese word segmentation has been widely approached as seque...
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08/11/2020
The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
We present Sockeye 2, a modernized and streamlined version of the Sockey...
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09/13/2019
Neural Machine Translation with 4-Bit Precision and Beyond
Neural Machine Translation (NMT) is resource intensive. We design a quan...
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06/08/2019
Making Asynchronous Stochastic Gradient Descent Work for Transformers
Asynchronous stochastic gradient descent (SGD) is attractive from a spee...
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08/30/2018
Multi-Source Syntactic Neural Machine Translation
We introduce a novel multi-source technique for incorporating source syn...
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08/27/2018
Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation
In order to extract the best possible performance from asynchronous stoc...
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05/30/2018
Marian: Cost-effective High-Quality Neural Machine Translation in C++
This paper describes the submissions of the "Marian" team to the WNMT 20...
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05/24/2018
Fast Neural Machine Translation Implementation
This paper describes the submissions to the efficiency track for GPUs by...
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05/05/2018
Exploring Hyper-Parameter Optimization for Neural Machine Translation on GPU Architectures
Neural machine translation (NMT) has been accelerated by deep learning n...
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04/16/2018
Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task
Previously, neural methods in grammatical error correction (GEC) did not...
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04/01/2018
Marian: Fast Neural Machine Translation in C++
We present Marian, an efficient and self-contained Neural Machine Transl...
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08/02/2017
The University of Edinburgh's Neural MT Systems for WMT17
This paper describes the University of Edinburgh's submissions to the WM...
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04/17/2017