b'Philipp Koehn'

research

∙ 05/23/2023

Pixel Representations for Multilingual Translation and Data-efficient Cross-lingual Transfer

We introduce and demonstrate how to effectively train multilingual machi...

0 Elizabeth Salesky, et al. ∙

research

∙ 05/23/2023

Condensing Multilingual Knowledge with Lightweight Language-Specific Modules

Incorporating language-specific (LS) modules is a proven method to boost...

0 Haoran Xu, et al. ∙

research

∙ 10/25/2022

Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport

Bilingual lexicons form a critical component of various natural language...

0 Kelly Marchisio, et al. ∙

research

∙ 10/11/2022

IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces

The ability to extract high-quality translation dictionaries from monoli...

0 Kelly Marchisio, et al. ∙

research

∙ 10/10/2022

Multilingual Representation Distillation with Contrastive Learning

Multilingual sentence representations from large models can encode seman...

0 Weiting Tan, et al. ∙

research

∙ 08/23/2022

Bitext Mining for Low-Resource Languages via Contrastive Learning

Mining high-quality bitexts for low-resource languages is challenging. T...

0 Weiting Tan, et al. ∙

research

∙ 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. ∙

research

∙ 05/23/2022

The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains

Recent model pruning methods have demonstrated the ability to remove red...

0 Haoran Xu, et al. ∙

research

∙ 05/17/2022

Consistent Human Evaluation of Machine Translation across Language Pairs

Obtaining meaningful quality scores for machine translation systems thro...

2 Daniel Licht, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 10/12/2021

Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation

Neural Machine Translation (NMT) models are known to suffer from noisy i...

0 Weiting Tan, et al. ∙

research

∙ 09/26/2021

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces

Much recent work in bilingual lexicon induction (BLI) views word embeddi...

0 Kelly Marchisio, et al. ∙

research

∙ 09/17/2021

The JHU-Microsoft Submission for WMT21 Quality Estimation Shared Task

This paper presents the JHU-Microsoft joint submission for WMT 2021 qual...

0 Shuoyang Ding, et al. ∙

research

∙ 09/12/2021

Levenshtein Training for Word-level Quality Estimation

We propose a novel scheme to use the Levenshtein Transformer to perform ...

0 Shuoyang Ding, et al. ∙

research

∙ 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. ∙

research

∙ 07/19/2021

Cross-Lingual BERT Contextual Embedding Space Mapping with Isotropic and Isometric Conditions

Typically, a linearly orthogonal transformation mapping is learned by al...

0 Haoran Xu, et al. ∙

research

∙ 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. ∙

research

∙ 05/31/2021

Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data

The scarcity of parallel data is a major obstacle for training high-qual...

7 Wei-Jen Ko, et al. ∙

research

∙ 04/18/2021

Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry

A popular natural language processing task decades ago, word alignment h...

0 Kelly Marchisio, et al. ∙

research

∙ 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. ∙

research

∙ 04/12/2021

Evaluating Saliency Methods for Neural Language Models

Saliency methods are widely used to interpret neural network predictions...

0 Shuoyang Ding, et al. ∙

research

∙ 03/11/2021

Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora

Large web-crawled corpora represent an excellent resource for improving ...

0 Gaurav Kumar, et al. ∙

research

∙ 03/11/2021

Learning Policies for Multilingual Training of Neural Machine Translation Systems

Low-resource Multilingual Neural Machine Translation (MNMT) is typically...

0 Gaurav Kumar, et al. ∙

research

∙ 03/03/2021

Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation

Linear embedding transformation has been shown to be effective for zero-...

0 Haoran Xu, et al. ∙

research

∙ 11/03/2020

SimulMT to SimulST: Adapting Simultaneous Text Translation to End-to-End Simultaneous Speech Translation

Simultaneous text translation and end-to-end speech translation have rec...

0 Xutai Ma, et al. ∙

research

∙ 10/30/2020

Streaming Simultaneous Speech Translation with Augmented Memory Transformer

Transformer-based models have achieved state-of-the-art performance on s...

0 Xutai Ma, et al. ∙

research

∙ 07/03/2020

TICO-19: the Translation Initiative for Covid-19

The COVID-19 pandemic is the worst pandemic to strike the world in over ...

0 Antonios Anastasopoulos, et al. ∙

research

∙ 04/30/2020

Simulated Multiple Reference Training Improves Low-Resource Machine Translation

Many valid translations exist for a given sentence, and yet machine tran...

0 Huda Khayrallah, et al. ∙

research

∙ 04/30/2020

Exploiting Sentence Order in Document Alignment

In this work, we exploit the simple idea that a document and its transla...

0 Brian Thompson, et al. ∙

research

∙ 04/12/2020

When Does Unsupervised Machine Translation Work?

Despite the reported success of unsupervised machine translation (MT), t...

0 Kelly Marchisio, et al. ∙

research

∙ 11/10/2019

A Massive Collection of Cross-Lingual Web-Document Pairs

Cross-lingual document alignment aims to identify pairs of documents in ...

0 Ahmed El-Kishky, et al. ∙

research

∙ 06/27/2019

Findings of the First Shared Task on Machine Translation Robustness

We share the findings of the first shared task on improving robustness o...

0 Xian Li, et al. ∙

research

∙ 06/25/2019

Saliency-driven Word Alignment Interpretation for Neural Machine Translation

Despite their original goal to jointly learn to align and translate, Neu...

0 Shuoyang Ding, et al. ∙

research

∙ 06/24/2019

Translationese in Machine Translation Evaluation

The term translationese has been used to describe the presence of unusua...

0 Yvette Graham, et al. ∙

research

∙ 06/20/2019

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

In this paper, we describe our submission to the WMT19 low-resource para...

0 Vishrav Chaudhary, et al. ∙

research

∙ 04/06/2019

Parallelizable Stack Long Short-Term Memory

Stack Long Short-Term Memory (StackLSTM) is useful for various applicati...

0 Shuoyang Ding, et al. ∙

research

∙ 02/04/2019

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

The vast majority of language pairs in the world are low-resource becaus...

0 Francisco Guzmán, et al. ∙

research

∙ 09/14/2018

Freezing Subnetworks to Analyze Domain Adaptation in Neural Machine Translation

To better understand the effectiveness of continued training, we analyze...

0 Brian Thompson, et al. ∙

research

∙ 09/06/2018

Character-Aware Decoder for Neural Machine Translation

Standard neural machine translation (NMT) systems operate primarily on w...

0 Adithya Renduchintala, et al. ∙

research

∙ 05/31/2018

On the Impact of Various Types of Noise on Neural Machine Translation

We examine how various types of noise in the parallel training data impa...

0 Huda Khayrallah, et al. ∙

research

∙ 09/22/2017

Neural Machine Translation

Draft of textbook chapter on neural machine translation. a comprehensive...

0 Philipp Koehn, et al. ∙

research

∙ 06/12/2017

Six Challenges for Neural Machine Translation

We explore six challenges for neural machine translation: domain mismatc...

0 Philipp Koehn, et al. ∙

research

∙ 02/03/2017

Predicting Target Language CCG Supertags Improves Neural Machine Translation

Neural machine translation (NMT) models are able to partially learn synt...

0 Maria Nădejde, et al. ∙

Philipp Koehn

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