Machine Translation Summit (2017)
Proceedings of Machine Translation Summit XVI: Research Track
Proceedings of Machine Translation Summit XVI: Research Track
Sadao Kurohashi
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Pascale Fung
Empirical Study of Dropout Scheme for Neural Machine Translation
Xiaolin Wang
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Masao Utiyama
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Eiichiro Sumita
A Target Attention Model for Neural Machine Translation
Hideya Mino
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Andrew Finch
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Eiichiro Sumita
Neural Pre-Translation for Hybrid Machine Translation
Jinhua Du
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Andy Way
Neural and Statistical Methods for Leveraging Meta-information in Machine Translation
Shahram Khadivi
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Patrick Wilken
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Leonard Dahlmann
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Evgeny Matusov
Translation Quality and Productivity: A Study on Rich Morphology Languages
Lucia Specia
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Kim Harris
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Frédéric Blain
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Aljoscha Burchardt
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Viviven Macketanz
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Inguna Skadin
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Matteo Negri
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Marco Turchi
The Microsoft Speech Language Translation (MSLT) Corpus for Chinese and Japanese: Conversational Test data for Machine Translation and Speech Recognition
Christian Federmann
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William D. Lewis
Paying Attention to Multi-Word Expressions in Neural Machine Translation
Matīss Rikters
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Ondřej Bojar
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages
Raj Dabre
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Fabien Cromieres
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Sadao Kurohashi
Learning an Interactive Attention Policy for Neural Machine Translation
Samee Ibraheem
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Nicholas Altieri
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John DeNero
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators
Sheila Castilho
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Joss Moorkens
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Federico Gaspari
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Rico Sennrich
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Vilelmini Sosoni
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Panayota Georgakopoulou
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Pintu Lohar
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Andy Way
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Antonio Valerio Miceli-Barone
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Maria Gialama
One-parameter models for sentence-level post-editing effort estimation
Mikel L. Forcada
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Miquel Esplà-Gomis
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Felipe Sánchez-Martínez
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Lucia Specia
A Minimal Cognitive Model for Translating and Post-editing
Moritz Schaeffer
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Michael Carl
Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data
Praveen Dakwale
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Christof Monz
Exploiting Relative Frequencies for Data Selection
Thierry Etchegoyhen
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Andoni Azpeitia
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Eva Martinez García
Low Resourced Machine Translation via Morpho-syntactic Modeling: The Case of Dialectal Arabic
Alexander Erdmann
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Nizar Habash
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Dima Taji
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Houda Bouamor
Elastic-substitution decoding for Hierarchical SMT: efficiency, richer search and double labels
Gideon Maillette de Buy Wenniger
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Khalil Sima’an
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Andy Way
Development of a classifiers/quantifiers dictionary towards French-Japanese MT
Mutsuko Tomokiyo
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Mathieu Mangeot
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Christian Boitet
Neural Machine Translation Model with a Large Vocabulary Selected by Branching Entropy
Zi Long
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Ryuichiro Kimura
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Takehito Utsuro
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Tomoharu Mitsuhashi
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Mikio Yamamoto
Usefulness of MT output for comprehension — an analysis from the point of view of linguistic intercomprehension
Kenneth Jordan Núñez
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Mikel L. Forcada
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Esteve Clua
Machine Translation as an Academic Writing Aid for Medical Practitioners
Carla Parra Escartín
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Sharon O’Brien
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Marie-Josée Goulet
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Michel Simard
A Multilingual Parallel Corpus for Improving Machine Translation on Southeast Asian Languages
Hai-Long Trieu
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Le-Minh Nguyen
Exploring Hypotheses Spaces in Neural Machine Translation
Frédéric Blain
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Lucia Specia
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Pranava Madhyastha
Confidence through Attention
Matīss Rikters
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Mark Fishel
Disentangling ASR and MT Errors in Speech Translation
Ngoc-Tien Le
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Benjamin Lecouteux
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Laurent Besacier
Temporality as Seen through Translation: A Case Study on Hindi Texts
Sabyasachi Kamila
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Sukanta Sen
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Mohammad Hasanuzzaman
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Asif Ekbal
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Andy Way
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Pushpak Bhattacharyya
A Neural Network Transliteration Model in Low Resource Settings
Tan Le
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Fatiha Sadat
Proceedings of Machine Translation Summit XVI: Commercial MT Users and Translators Track
Proceedings of Machine Translation Summit XVI: Commercial MT Users and Translators Track
Masaru Yamada
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Mark Seligman
Zero-Shot Translation for Indian Languages with Sparse Data
Giulia Mattoni
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Pat Nagle
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Carlos Collantes
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Dimitar Shterionov
Feature-rich NMT and SMT post-edited corpora for productivity and evaluation tasks with a subset of MQM-annotated data
Kim Harris
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Lucia Specia
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Aljoscha Burchardt
Usability of web-based MT post-editing environments for screen reader users
Silvia Rodríguez Vázquez
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Sharon O’Brien
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Dónal Fitzpatrick
Live presentations to a multilingual audience: personal universal translator
Chris Wendt
Toward a full-scale neural machine translation in production: the Booking.com use case
Pavel Levin
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Nishikant Dhanuka
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Talaat Khalil
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Fedor Kovalev
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Maxim Khalilov
The INTERACT Project and Crisis MT
Sharon O’Brien
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Chao-Hong Liu
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Andy Way
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João Graça
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André Martins
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Helena Moniz
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Ellie Kemp
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Rebecca Petras
A Case Study of Machine Translation in Financial Sentiment Analysis
Chong Zhang
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Matteo Capelletti
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Alexandros Poulis
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Thorben Stemann
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Jane Nemcova
A New Methodology to Maximize the Strength of SMT and NMT
Yu Gong
Rule-based MT and UTX Glossary Management – Honda’s Case Dealing with Thousands of Technical Terms
Saemi Hirayama
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Yuji Yamamoto
A detailed investigation of Bias Errors in Post-editing of MT output
Silvio Picinini
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Nicola Ueffing
Terminology post-editing of neural MT by UTX glossary data
Yamamoto Yuji
Harvesting Polysemous Terms from e-commerce Data to Enhance QA
Silvio Picinini
Translation Dictation vs. Post-editing with Cloud-based Voice Recognition: A Pilot Experiment
Julián Zapata
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Sheila Castilho
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Joss Moorkens
Will neural MT be a breakthrough in English-to-Japanese technical translation?
Tsunao Mikasa
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Nobuko Kasahara
The Impact of MT Quality Estimation on Post-Editing Effort
Carlos Teixeira
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Sharon O’Brien
Utilizing Neural MT Engines in Industrial Translation
Toru Shishido
Comparative Evaluation of NMT with Established SMT Programs
Lena Marg
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Naoko Miyazaki
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Elaine O’Curran
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Tanja Schmidt
Journey around Neural Machine Translation quality
Marco Ganci
A Reception Study of Machine Translated Subtitles for MOOCs
Ke Hu
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Sharon O’Brien
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Dorothy Kenny
TraMOOC: Translation for Massive Open Online Courses
Joss Moorkens
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Yota Georgakopoulou