Francisco Guzmán

research

∙ 08/22/2023

SeamlessM4T-Massively Multilingual Multimodal Machine Translation

What does it take to create the Babel Fish, a tool that can help individ...

0 Seamless Communication, 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

∙ 05/17/2022

Consistent Human Evaluation of Machine Translation across Language Pairs

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

2 Daniel Licht, et al. ∙

research

∙ 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. ∙

research

∙ 02/27/2022

OCR Improves Machine Translation for Low-Resource Languages

We aim to investigate the performance of current OCR systems on low reso...

0 Oana Ignat, 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

∙ 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. ∙

research

∙ 07/18/2021

As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation

Mistranslated numbers have the potential to cause serious effects, such ...

12 Jun Wang, et al. ∙

research

∙ 07/12/2021

Putting words into the system's mouth: A targeted attack on neural machine translation using monolingual data poisoning

Neural machine translation systems are known to be vulnerable to adversa...

3 Jun Wang, et al. ∙

research

∙ 06/07/2021

LAWDR: Language-Agnostic Weighted Document Representations from Pre-trained Models

Cross-lingual document representations enable language understanding in ...

0 Hongyu Gong, et al. ∙

research

∙ 06/06/2021

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

One of the biggest challenges hindering progress in low-resource and mul...

0 Naman Goyal, 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

∙ 04/17/2021

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

∙ 02/08/2021

Quality Estimation without Human-labeled Data

Quality estimation aims to measure the quality of translated content wit...

0 Yi-Lin Tuan, et al. ∙

research

∙ 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. ∙

research

∙ 11/02/2020

Targeted Poisoning Attacks on Black-Box Neural Machine Translation

As modern neural machine translation (NMT) systems have been widely depl...

28 Chang Xu, et al. ∙

research

∙ 10/09/2020

MLQE-PE: A Multilingual Quality Estimation and Post-Editing Dataset

We present MLQE-PE, a new dataset for Machine Translation (MT) Quality E...

0 Marina Fomicheva, 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

∙ 05/21/2020

Unsupervised Quality Estimation for Neural Machine Translation

Quality Estimation (QE) is an important component in making Machine Tran...

0 Marina Fomicheva, et al. ∙

research

∙ 01/31/2020

Massively Multilingual Document Alignment with Cross-lingual Sentence-Mover's Distance

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

0 Ahmed El-Kishky, et al. ∙

research

∙ 12/06/2019

Machine Translation Evaluation Meets Community Question Answering

We explore the applicability of machine translation evaluation (MTE) met...

0 Francisco Guzmán, et al. ∙

research

∙ 12/05/2019

Pairwise Neural Machine Translation Evaluation

We present a novel framework for machine translation evaluation using ne...

0 Francisco Guzmán, et al. ∙

research

∙ 11/28/2019

DiscoTK: Using Discourse Structure for Machine Translation Evaluation

We present novel automatic metrics for machine translation evaluation th...

5 Shafiq Joty, 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

∙ 11/05/2019

Unsupervised Cross-lingual Representation Learning at Scale

This paper shows that pretraining multilingual language models at scale ...

0 Alexis Conneau, et al. ∙

research

∙ 11/01/2019

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Pre-training text representations have led to significant improvements i...

13 Guillaume Wenzek, et al. ∙

research

∙ 07/10/2019

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

We present an approach based on multilingual sentence embeddings to auto...

0 Holger Schwenk, 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

∙ 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

∙ 10/05/2017

Machine Translation Evaluation with Neural Networks

We present a framework for machine translation evaluation using neural n...

0 Francisco Guzmán, et al. ∙

research

∙ 10/04/2017

Discourse Structure in Machine Translation Evaluation

In this article, we explore the potential of using sentence-level discou...

0 Shafiq Joty, et al. ∙

research

∙ 06/18/2016

Egyptian Arabic to English Statistical Machine Translation System for NIST OpenMT'2015

The paper describes the Egyptian Arabic-to-English statistical machine t...

0 Hassan Sajjad, et al. ∙

Francisco Guzmán

Featured Co-authors