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Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural
  Machine Translation

Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation

30 October 2019
Sébastien Jean
Ankur Bapna
Orhan Firat
ArXiv (abs)PDFHTML

Papers citing "Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation"

5 / 5 papers shown
Title
Document-Level Language Models for Machine Translation
Document-Level Language Models for Machine TranslationConference on Machine Translation (WMT), 2023
Frithjof Petrick
Christian Herold
Pavel Petrushkov
Shahram Khadivi
Hermann Ney
139
14
0
18 Oct 2023
Paraphrasing evades detectors of AI-generated text, but retrieval is an
  effective defense
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseNeural Information Processing Systems (NeurIPS), 2023
Kalpesh Krishna
Yixiao Song
Marzena Karpinska
John Wieting
Mohit Iyyer
DeLMO
325
431
0
23 Mar 2023
Multilingual Document-Level Translation Enables Zero-Shot Transfer From
  Sentences to Documents
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents
Biao Zhang
Ankur Bapna
Melvin Johnson
A. Dabirmoghaddam
N. Arivazhagan
Orhan Firat
152
15
0
21 Sep 2021
Long-Short Term Masking Transformer: A Simple but Effective Baseline for
  Document-level Neural Machine Translation
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Pei Zhang
Boxing Chen
Niyu Ge
Kai Fan
144
40
0
19 Sep 2020
Capturing document context inside sentence-level neural machine
  translation models with self-training
Capturing document context inside sentence-level neural machine translation models with self-training
Elman Mansimov
Gábor Melis
Lei Yu
133
14
0
11 Mar 2020
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