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ORCID12th AMTA 2016: Austin, TX, USA - Researchers' Track
- Spence Green, Lane Schwartz:
12th Conferences of the Association for Machine Translation in the Americas: MT Researchers' Track, AMTA 2016, Austin, TX, USA, October 28 - November 1, 2016. The Association for Machine Translation in the Americas 2016 - Rajen Chatterjee, Mihael Arcan, Matteo Negri, Marco Turchi:
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario. 1-15 - Marina Sanchez-Torron, Philipp Koehn:
Machine Translation Quality and Post-Editor Productivity. 16-26 - John E. Ortega, Felipe Sánchez-Martínez
, Mikel L. Forcada:
Fuzzy-match repair using black-box machine translation systems: what can be expected? 27-39 - Hieu Hoang, Nikolay Bogoychev, Lane Schwartz, Marcin Junczys-Dowmunt:
Fast, Scalable Phrase-Based SMT Decoding. 40-52 - Youngki Park, Hwidong Na, Hodong Lee, Jihyun Lee, Inchul Song:
An Effective Diverse Decoding Scheme for Robust Synonymous Sentence Translation. 53-64 - Daniel Torregrosa, Juan Antonio Pérez-Ortiz, Mikel L. Forcada:
Ranking suggestions for black-box interactive translation prediction systems with multilayer perceptrons. 65-78 - Kenji Imamura, Eiichiro Sumita:
Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation. 79-92 - Boxing Chen, Roland Kuhn, George F. Foster, Colin Cherry, Fei Huang:
Bilingual Methods for Adaptive Training Data Selection for Machine Translation. 93-106 - Rebecca Knowles, Philipp Koehn:
Neural Interactive Translation Prediction. 107-120 - Wenhu Chen, Evgeny Matusov, Shahram Khadivi, Jan-Thorsten Peter:
Guided Alignment Training for Topic-Aware Neural Machine Translation. 121-134 - Ander Martinez, Yuji Matsumoto:
Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language. 135-148 - Hamidreza Ghader, Christof Monz:
Which Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation? 149-162 - Biman Gujral, Huda Khayrallah, Philipp Koehn:
Translation of Unknown Words in Low Resource Languages. 163-176 - John Hewitt, Matt Post, David Yarowsky:
Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages. 177-190 - Sawsan Alqahtani, Mahmoud Ghoneim, Mona T. Diab:
Investigating the Impact of Various Partial Diacritization Schemes on Arabic-English Statistical Machine Translation. 191-204
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