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Neural versus Phrase-Based Machine Translation Quality: a Case Study
Luisa Bentivogli
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Arianna Bisazza
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Mauro Cettolo
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Marcello Federico
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Dynamic Data Selection for Neural Machine Translation
Marlies van der Wees
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Arianna Bisazza
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Christof Monz
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Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search
Leonard Dahlmann
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Evgeny Matusov
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Pavel Petrushkov
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Shahram Khadivi
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A Challenge Set Approach to Evaluating Machine Translation
Pierre Isabelle
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Colin Cherry
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George Foster
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The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation
Arianna Bisazza
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Clara Tump
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Multi-Source Syntactic Neural Machine Translation
Anna Currey
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Kenneth Heafield
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Exploiting Deep Representations for Neural Machine Translation
Zi-Yi Dou
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Zhaopeng Tu
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Xing Wang
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Shuming Shi
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Tong Zhang
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A Multifaceted Evaluation of Neural versus Phrase-Based Machine Translation for 9 Language Directions
Antonio Toral
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Víctor M. Sánchez-Cartagena
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Using Images to Improve Machine-Translating E-Commerce Product Listings.
Iacer Calixto
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Daniel Stein
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Evgeny Matusov
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Pintu Lohar
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Sheila Castilho
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Andy Way
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Improving Sequence to Sequence Neural Machine Translation by Utilizing Syntactic Dependency Information
An Nguyen Le
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Ander Martinez
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Akifumi Yoshimoto
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Yuji Matsumoto
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Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
Fahim Dalvi
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Nadir Durrani
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Hassan Sajjad
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Yonatan Belinkov
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Stephan Vogel
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NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project
Inguna Skadiņa
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Mārcis Pinnis
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TQ-AutoTest – An Automated Test Suite for (Machine) Translation Quality
Vivien Macketanz
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Renlong Ai
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Aljoscha Burchardt
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Hans Uszkoreit
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Examining the Tip of the Iceberg: A Data Set for Idiom Translation
Marzieh Fadaee
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Arianna Bisazza
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Christof Monz
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A fine-grained error analysis of NMT, SMT and RBMT output for English-to-Dutch
Laura Van Brussel
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Arda Tezcan
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Lieve Macken
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Handling Homographs in Neural Machine Translation
Frederick Liu
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Han Lu
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Graham Neubig
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Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation
Marianna Apidianaki
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Guillaume Wisniewski
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Anne Cocos
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Chris Callison-Burch
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
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Nadir Durrani
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Fahim Dalvi
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Hassan Sajjad
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James Glass
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Building a Non-Trivial Paraphrase Corpus Using Multiple Machine Translation Systems
Yui Suzuki
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Tomoyuki Kajiwara
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Mamoru Komachi
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SuperNMT: Neural Machine Translation with Semantic Supersenses and Syntactic Supertags
Eva Vanmassenhove
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Andy Way
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Japanese-English Machine Translation of Recipe Texts
Takayuki Sato
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Jun Harashima
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Mamoru Komachi
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Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles
Iacer Calixto
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Daniel Stein
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Evgeny Matusov
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Sheila Castilho
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Andy Way
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Six Challenges for Neural Machine Translation
Philipp Koehn
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Rebecca Knowles
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Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
Annette Rios Gonzales
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Laura Mascarell
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Rico Sennrich
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Evaluating the morphological competence of Machine Translation Systems
Franck Burlot
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François Yvon
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Predicting Target Language CCG Supertags Improves Neural Machine Translation
Maria Nădejde
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Siva Reddy
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Rico Sennrich
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Tomasz Dwojak
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Marcin Junczys-Dowmunt
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Philipp Koehn
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Alexandra Birch
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The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber
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Leena Shekhar
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Niranjan Balasubramanian
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Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MT
Marianna Martindale
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Marine Carpuat
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How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Georg Heigold
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Stalin Varanasi
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Günter Neumann
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Josef van Genabith
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An Evaluation of Two Vocabulary Reduction Methods for Neural Machine Translation
Duygu Ataman
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Marcello Federico
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A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation
Benjamin Marie
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Atsushi Fujita
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SMT versus NMT: Preliminary comparisons for Irish
Meghan Dowling
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Teresa Lynn
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Alberto Poncelas
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Andy Way
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Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation
Anna Currey
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Kenneth Heafield
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An Analysis of Encoder Representations in Transformer-Based Machine Translation
Alessandro Raganato
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Jörg Tiedemann
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Discourse-Related Language Contrasts in English-Croatian Human and Machine Translation
Margita Šoštarić
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Christian Hardmeier
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Sara Stymne
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Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral
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Sheila Castilho
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Ke Hu
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Andy Way
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Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings
Maksym Del
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Andre Tättar
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Mark Fishel
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The Word Sense Disambiguation Test Suite at WMT18
Annette Rios
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Mathias Müller
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Rico Sennrich
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Findings of the WMT 2018 Shared Task on Automatic Post-Editing
Rajen Chatterjee
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Matteo Negri
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Raphael Rubino
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Marco Turchi
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http://workshop2015.iwslt.org/
http://www.ted.com/
Field Of Study
Linguistic Trends
Syntax
Morphology
Task
Tagging
Machine Translation
Approach
Deep Learning
Language
English
French
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