Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)

Michael Denkowski, Christian Federmann (Editors)

Anthology ID:
2020.amta-research
Month:
October
Year:
2020
Address:
Virtual
Venue:
AMTA
SIG:
Publisher:
Association for Machine Translation in the Americas
URL:
https://preview.aclanthology.org/bootstrap-5/2020.amta-research/
DOI:
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Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Michael Denkowski | Christian Federmann
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Investigation of Transformer-based Latent Attention Models for Neural Machine Translation
Parnia Bahar | Nikita Makarov | Hermann Ney
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Machine Translation with Unsupervised Length-Constraints
Jan Niehues
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Constraining the Transformer NMT Model with Heuristic Grid Beam Search
Guodong Xie | Andy Way
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Machine Translation System Selection from Bandit Feedback
Jason Naradowsky | Xuan Zhang | Kevin Duh
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Generative latent neural models for automatic word alignment
Anh Khoa Ngo Ho | François Yvon
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The Impact of Indirect Machine Translation on Sentiment Classification
Alberto Poncelas | Pintu Lohar | James Hadley | Andy Way
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Towards Handling Compositionality in Low-Resource Bilingual Word Induction
Viktor Hangya | Alexander Fraser
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The OpenNMT Neural Machine Translation Toolkit: 2020 Edition
Guillaume Klein | François Hernandez | Vincent Nguyen | Jean Senellart
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The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020
Tobias Domhan | Michael Denkowski | David Vilar | Xing Niu | Felix Hieber | Kenneth Heafield
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THUMT: An Open-Source Toolkit for Neural Machine Translation
Zhixing Tan | Jiacheng Zhang | Xuancheng Huang | Gang Chen | Shuo Wang | Maosong Sun | Huanbo Luan | Yang Liu
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Dynamic Masking for Improved Stability in Online Spoken Language Translation
Yuekun Yao | Barry Haddow
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On Target Segmentation for Direct Speech Translation
Mattia A. Di Gangi | Marco Gaido | Matteo Negri | Marco Turchi
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Domain Robustness in Neural Machine Translation
Mathias Müller | Annette Rios | Rico Sennrich
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Low-Resource NMT: an Empirical Study on the Effect of Rich Morphological Word Segmentation on Inuktitut
Tan Ngoc Le | Fatiha Sadat