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Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation
Chris Callison-Burch
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Philipp Koehn
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Christof Monz
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Kay Peterson
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Mark Przybocki
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Omar Zaidan
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
WS |
Citations
URL
Better Evaluation Metrics Lead to Better Machine Translation
Chang Liu
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Daniel Dahlmeier
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Hwee Tou Ng
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Corroborating Text Evaluation Results with Heterogeneous Measures
Enrique Amigó
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Julio Gonzalo
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Jesús Giménez
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Felisa Verdejo
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Probabilistic Finite State Machines for Regression-based MT Evaluation
Mengqiu Wang
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Christopher D. Manning
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An Empirical Investigation of Statistical Significance in NLP
Taylor Berg-Kirkpatrick
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David Burkett
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Dan Klein
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Source-Side Classifier Preordering for Machine Translation
Uri Lerner
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Slav Petrov
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Hierarchical Back-off Modeling of Hiero Grammar based on Non-parametric Bayesian Model
Hidetaka Kamigaito
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Taro Watanabe
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Hiroya Takamura
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Manabu Okumura
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Eiichiro Sumita
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How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia-Wei Liu
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Ryan Lowe
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Iulian Serban
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Mike Noseworthy
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Laurent Charlin
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Joelle Pineau
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Toward Statistical Machine Translation without Parallel Corpora
Alexandre Klementiev
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Ann Irvine
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Chris Callison-Burch
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David Yarowsky
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Does more data always yield better translations?
Guillem Gascó
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Martha-Alicia Rocha
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Germán Sanchis-Trilles
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Jesús Andrés-Ferrer
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Francisco Casacuberta
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ONTS: “Optima” News Translation System
Marco Turchi
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Martin Atkinson
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Alastair Wilcox
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Brett Crawley
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Stefano Bucci
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Ralf Steinberger
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Erik Van der Goot
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PARADIGM: Paraphrase Diagnostics through Grammar Matching
Jonathan Weese
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Juri Ganitkevitch
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Chris Callison-Burch
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Automatically Assessing Machine Summary Content Without a Gold Standard
Annie Louis
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Ani Nenkova
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Re-examining Machine Translation Metrics for Paraphrase Identification
Nitin Madnani
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Joel Tetreault
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Martin Chodorow
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Learning Whom to Trust with MACE
Dirk Hovy
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Taylor Berg-Kirkpatrick
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Ashish Vaswani
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Eduard Hovy
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Neural Architectures for Named Entity Recognition
Guillaume Lample
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Miguel Ballesteros
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Sandeep Subramanian
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Kazuya Kawakami
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Chris Dyer
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An Unsupervised Model for Joint Phrase Alignment and Extraction
Graham Neubig
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Taro Watanabe
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Eiichiro Sumita
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Shinsuke Mori
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Tatsuya Kawahara
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Machine Translation System Combination by Confusion Forest
Taro Watanabe
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Eiichiro Sumita
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Minimum Bayes-risk System Combination
Jesús González-Rubio
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Alfons Juan
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Francisco Casacuberta
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Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
Chang Liu
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Hwee Tou Ng
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PORT: a Precision-Order-Recall MT Evaluation Metric for Tuning
Boxing Chen
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Roland Kuhn
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Samuel Larkin
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ACCURAT Toolkit for Multi-Level Alignment and Information Extraction from Comparable Corpora
Mārcis Pinnis
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Radu Ion
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Dan Ştefănescu
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Fangzhong Su
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Inguna Skadiņa
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Andrejs Vasiļjevs
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Bogdan Babych
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Dirt Cheap Web-Scale Parallel Text from the Common Crawl
Jason R. Smith
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Herve Saint-Amand
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Magdalena Plamada
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Philipp Koehn
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Chris Callison-Burch
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Adam Lopez
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Models of Translation Competitions
Mark Hopkins
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Jonathan May
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Deepfix: Statistical Post-editing of Statistical Machine Translation Using Deep Syntactic Analysis
Rudolf Rosa
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David Mareček
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Aleš Tamchyna
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MUTT: Metric Unit TesTing for Language Generation Tasks
William Boag
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Renan Campos
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Kate Saenko
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Anna Rumshisky
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Improving Discourse Relation Projection to Build Discourse Annotated Corpora
Majid Laali
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Leila Kosseim
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UOW: Semantically Informed Text Similarity
Miguel Rios
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Wilker Aziz
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Lucia Specia
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Structured vs. Flat Semantic Role Representations for Machine Translation Evaluation
Chi-kiu Lo
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Dekai Wu
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Evaluate with Confidence Estimation: Machine ranking of translation outputs using grammatical features
Eleftherios Avramidis
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Maja Popovic
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David Vilar
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Aljoscha Burchardt
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Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems
Michael Denkowski
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Alon Lavie
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Approximating a Deep-Syntactic Metric for MT Evaluation and Tuning
Matouš Macháček
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Ondřej Bojar
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Evaluation without references: IBM1 scores as evaluation metrics
Maja Popović
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David Vilar
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Eleftherios Avramidis
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Aljoscha Burchardt
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Morphemes and POS tags for n-gram based evaluation metrics
Maja Popović
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E-rating Machine Translation
Kristen Parton
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Joel Tetreault
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Nitin Madnani
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Martin Chodorow
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TINE: A Metric to Assess MT Adequacy
Miguel Rios
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Wilker Aziz
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Lucia Specia
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Regression and Ranking based Optimisation for Sentence Level MT Evaluation
Xingyi Song
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Trevor Cohn
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MAISE: A Flexible, Configurable, Extensible Open Source Package for Mass AI System Evaluation
Omar Zaidan
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The UZH System Combination System for WMT 2011
Rico Sennrich
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Generative Models of Monolingual and Bilingual Gappy Patterns
Kevin Gimpel
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Noah A. Smith
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Lightly-Supervised Training for Hierarchical Phrase-Based Machine Translation
Matthias Huck
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David Vilar
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Daniel Stein
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Hermann Ney
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Machine Translation for Multilingual Summary Content Evaluation
Josef Steinberger
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Marco Turchi
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Putting Human Assessments of Machine Translation Systems in Order
Adam Lopez
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Findings of the 2012 Workshop on Statistical Machine Translation
Chris Callison-Burch
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Philipp Koehn
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Christof Monz
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Matt Post
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Radu Soricut
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Lucia Specia
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Improving AMBER, an MT Evaluation Metric
Boxing Chen
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Roland Kuhn
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George Foster
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TerrorCat: a Translation Error Categorization-based MT Quality Metric
Mark Fishel
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Rico Sennrich
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Maja Popović
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Ondřej Bojar
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Class error rates for evaluation of machine translation output
Maja Popović
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SPEDE: Probabilistic Edit Distance Metrics for MT Evaluation
Mengqiu Wang
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Christopher Manning
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Using Parallel Features in Parsing of Machine-Translated Sentences for Correction of Grammatical Errors
Rudolf Rosa
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Ondřej Dušek
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David Mareček
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Martin Popel
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Unsupervised vs. supervised weight estimation for semantic MT evaluation metrics
Chi-kiu Lo
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Dekai Wu
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A Semantic Evaluation of Machine Translation Lexical Choice
Marine Carpuat
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Findings of the 2013 Workshop on Statistical Machine Translation
Ondřej Bojar
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Christian Buck
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Chris Callison-Burch
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Christian Federmann
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Barry Haddow
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Philipp Koehn
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Christof Monz
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Matt Post
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Radu Soricut
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Lucia Specia
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Continuous Measurement Scales in Human Evaluation of Machine Translation
Yvette Graham
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Timothy Baldwin
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Alistair Moffat
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Justin Zobel
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Controlled Ascent: Imbuing Statistical MT with Linguistic Knowledge
William Lewis
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Chris Quirk
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Hallucinating Phrase Translations for Low Resource MT
Ann Irvine
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Chris Callison-Burch
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Findings of the 2014 Workshop on Statistical Machine Translation
Ondřej Bojar
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Christian Buck
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Christian Federmann
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Barry Haddow
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Philipp Koehn
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Johannes Leveling
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Christof Monz
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Pavel Pecina
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Matt Post
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Herve Saint-Amand
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Radu Soricut
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Lucia Specia
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Aleš Tamchyna
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Lexical Access Preference and Constraint Strategies for Improving Multiword Expression Association within Semantic MT Evaluation
Dekai Wu
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Chi-kiu Lo
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Markus Saers
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Correlating decoding events with errors in Statistical Machine Translation
Eleftherios Avramidis
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Maja Popović
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Findings of the 2015 Workshop on Statistical Machine Translation
Ondřej Bojar
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Rajen Chatterjee
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Christian Federmann
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Barry Haddow
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Matthias Huck
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Chris Hokamp
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Philipp Koehn
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Varvara Logacheva
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Christof Monz
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Matteo Negri
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Matt Post
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Carolina Scarton
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Lucia Specia
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Marco Turchi
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Results of the WMT15 Tuning Shared Task
Miloš Stanojević
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Amir Kamran
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Ondřej Bojar
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Findings of the 2016 Conference on Machine Translation
Ondřej Bojar
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Rajen Chatterjee
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Christian Federmann
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Yvette Graham
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Barry Haddow
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Matthias Huck
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Antonio Jimeno Yepes
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Philipp Koehn
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Varvara Logacheva
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Christof Monz
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Matteo Negri
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Aurélie Névéol
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Mariana Neves
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Martin Popel
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Matt Post
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Raphael Rubino
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Carolina Scarton
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Lucia Specia
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Marco Turchi
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Karin Verspoor
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Marcos Zampieri
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Results of the WMT16 Tuning Shared Task
Bushra Jawaid
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Amir Kamran
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Miloš Stanojević
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Ondřej Bojar
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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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Findings of the 2018 Conference on Machine Translation (WMT18)
Ondřej Bojar
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Christian Federmann
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Mark Fishel
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Yvette Graham
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Barry Haddow
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Philipp Koehn
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Christof Monz
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Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation
Yinuo Guo
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Chong Ruan
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Junfeng Hu
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Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task
Chi-kiu Lo
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Michel Simard
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Darlene Stewart
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Samuel Larkin
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Cyril Goutte
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Patrick Littell
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http://statmt.org/wmt10/
http://statmt.org/wmt10/results.html
http://www.ceet.eu/
http://www.babblequest.com/badger2
http://www1.ccls.columbia.edu/
http://www.umiacs.umd.edu/
http://www.umiacs.umd.edu/
http://www.statmt.org/wmt09/results
Field Of Study
Linguistic Trends
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Machine Translation
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