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How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
EACL |
Citations
URL
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov
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Simon Clematide
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Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
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Tal Linzen
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Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Gongbo Tang
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Mathias Müller
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Annette Rios
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Rico Sennrich
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Revisiting Character-Based Neural Machine Translation with Capacity and Compression
Colin Cherry
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George Foster
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Ankur Bapna
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Orhan Firat
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Wolfgang Macherey
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Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample
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Myle Ott
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Alexis Conneau
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Ludovic Denoyer
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Marc’Aurelio Ranzato
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Comparing Character-level Neural Language Models Using a Lexical Decision Task
Gaël Le Godais
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Tal Linzen
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Emmanuel Dupoux
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Automated Evaluation of Out-of-Context Errors
Patrick Huber
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Jan Niehues
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Alex Waibel
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Colorless Green Recurrent Networks Dream Hierarchically
Kristina Gulordava
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Piotr Bojanowski
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Edouard Grave
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Tal Linzen
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Marco Baroni
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Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
Matt Post
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David Vilar
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LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Adhiguna Kuncoro
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Chris Dyer
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John Hale
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Dani Yogatama
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Stephen Clark
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Phil Blunsom
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
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German Kruszewski
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Guillaume Lample
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Loïc Barrault
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Marco Baroni
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Normalizing Medieval German Texts: from rules to deep learning
Natalia Korchagina
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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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Deep architectures for Neural Machine Translation
Antonio Valerio Miceli Barone
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Jindřich Helcl
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Rico Sennrich
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Barry Haddow
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Alexandra Birch
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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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Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation
Johnny Wei
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Khiem Pham
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Brendan O’Connor
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Brian Dillon
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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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A Pronoun Test Suite Evaluation of the English–German MT Systems at WMT 2018
Liane Guillou
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Christian Hardmeier
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Ekaterina Lapshinova-Koltunski
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Sharid Loáiciga
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http://www.statmt.org/wmt16/
https://github.com/rsennrich/nematus
https://github.com/nyu-dl/dl4mt-c2c
https://github.com/nyu-dl/dl4mt-tutorial
http://data.statmt.org/rsennrich/wmt16_systems/
Field Of Study
Linguistic Trends
Morphology
Task
Machine Translation
Language
English
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