Isaac Caswell | DeepAI

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∙ 09/09/2023

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

We introduce MADLAD-400, a manually audited, general domain 3T token mon...

0 Sneha Kudugunta, et al. ∙

∙ 05/19/2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages

Data scarcity is a crucial issue for the development of highly multiling...

0 Sebastian Ruder, et al. ∙

∙ 03/27/2023

Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine Translation

Neural machine translation (NMT) has progressed rapidly over the past se...

0 Alex Jones, et al. ∙

∙ 05/09/2022

Building Machine Translation Systems for the Next Thousand Languages

In this paper we share findings from our effort to build practical machi...

8 Ankur Bapna, et al. ∙

∙ 01/09/2022

Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning

Achieving universal translation between all human language pairs is the ...

8 Aditya Siddhant, et al. ∙

∙ 03/22/2021

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

With the success of large-scale pre-training and multilingual modeling i...

33 Isaac Caswell, et al. ∙

∙ 10/27/2020

Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus

Large text corpora are increasingly important for a wide variety of Natu...

0 Isaac Caswell, et al. ∙

∙ 04/13/2020

BLEU might be Guilty but References are not Innocent

The quality of automatic metrics for machine translation has been increa...

0 Markus Freitag, et al. ∙

∙ 11/10/2019

Translationese as a Language in "Multilingual" NMT

Machine translation has an undesirable propensity to produce "translatio...

0 Parker Riley, et al. ∙

∙ 09/05/2019

Investigating Multilingual NMT Representations at Scale

Multilingual Neural Machine Translation (NMT) models have yielded large ...

1 Sneha Reddy Kudugunta, et al. ∙

∙ 08/28/2019

Learning a Multitask Curriculum for Neural Machine Translation

Existing curriculum learning research in neural machine translation (NMT...

0 Wei Wang, et al. ∙

∙ 06/15/2019

Tagged Back-Translation

Recent work in Neural Machine Translation (NMT) has shown significant qu...

0 Isaac Caswell, et al. ∙

∙ 06/03/2019

Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation

Noise and domain are important aspects of data quality for neural machin...

0 Wei Wang, et al. ∙

∙ 04/09/2019

Text Repair Model for Neural Machine Translation

In this work, we train a text repair model as a post-processor for Neura...

0 Markus Freitag, et al. ∙

∙ 02/21/2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

Lingvo is a Tensorflow framework offering a complete solution for collab...

13 Jonathan Shen, et al. ∙

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