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CDER: Efficient MT Evaluation Using Block Movements
Gregor Leusch
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Nicola Ueffing
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Hermann Ney
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Paper Details:
Month: April
Year: 2006
Location: Trento, Italy
Venue:
EACL |
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Yearly Citation Distribution
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Citations
URL
Improving Statistical Machine Translation Using Word Sense Disambiguation
Marine Carpuat
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Dekai Wu
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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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Towards Automatic Error Analysis of Machine Translation Output
Maja Popović
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Hermann Ney
|
From dictations to clinical reports using machine translation
Gregory Finley
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Wael Salloum
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Najmeh Sadoughi
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Erik Edwards
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Amanda Robinson
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Nico Axtmann
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Michael Brenndoerfer
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Mark Miller
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David Suendermann-Oeft
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A Re-examination of Machine Learning Approaches for Sentence-Level MT Evaluation
Joshua Albrecht
|
Rebecca Hwa
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A Re-examination on Features in Regression Based Approach to Automatic MT Evaluation
Shuqi Sun
|
Yin Chen
|
Jufeng Li
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A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
Boxing Chen
|
Min Zhang
|
Haizhou Li
|
Aiti Aw
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MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles
Chi-kiu Lo
|
Dekai Wu
|
Improving machine translation by training against an automatic semantic frame based evaluation metric
Chi-kiu Lo
|
Karteek Addanki
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Markus Saers
|
Dekai Wu
|
XMEANT: Better semantic MT evaluation without reference translations
Chi-kiu Lo
|
Meriem Beloucif
|
Markus Saers
|
Dekai Wu
|
Contextual Bitext-Derived Paraphrases in Automatic MT Evaluation
Karolina Owczarzak
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Declan Groves
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Josef Van Genabith
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Andy Way
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Dependency-Based Automatic Evaluation for Machine Translation
Karolina Owczarzak
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Josef van Genabith
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Andy Way
|
Word Error Rates: Decomposition over POS classes and Applications for Error Analysis
Maja Popović
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Hermann Ney
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Labelled Dependencies in Machine Translation Evaluation
Karolina Owczarzak
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Josef van Genabith
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Andy Way
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METEOR: An Automatic Metric for MT Evaluation with High Levels of Correlation with Human Judgments
Alon Lavie
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Abhaya Agarwal
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Meteor, M-BLEU and M-TER: Evaluation Metrics for High-Correlation with Human Rankings of Machine Translation Output
Abhaya Agarwal
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Alon Lavie
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Structured vs. Flat Semantic Role Representations for Machine Translation Evaluation
Chi-kiu Lo
|
Dekai Wu
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Fully Automatic Semantic MT Evaluation
Chi-kiu Lo
|
Anand Karthik Tumuluru
|
Dekai Wu
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Unsupervised vs. supervised weight estimation for semantic MT evaluation metrics
Chi-kiu Lo
|
Dekai Wu
|
evision PDF of 'Results of the WMT13 Metrics Shared Task
Matouš Macháček
|
Ondřej Bojar
|
Quality Estimation for Machine Translation Using the Joint Method of Evaluation Criteria and Statistical Modeling
Aaron Li-Feng Han
|
Yi Lu
|
Derek F. Wong
|
Lidia S. Chao
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Liangye He
|
Junwen Xing
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MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric
Chi-kiu Lo
|
Dekai Wu
|
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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Results of the WMT14 Metrics Shared Task
Matouš Macháček
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Ondřej Bojar
|
Better Semantic Frame Based MT Evaluation via Inversion Transduction Grammars
Dekai Wu
|
Chi-kiu Lo
|
Meriem Beloucif
|
Markus Saers
|
Lexical Access Preference and Constraint Strategies for Improving Multiword Expression Association within Semantic MT Evaluation
Dekai Wu
|
Chi-kiu Lo
|
Markus Saers
|
Results of the WMT15 Metrics Shared Task
Miloš Stanojević
|
Amir Kamran
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Philipp Koehn
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Ondřej Bojar
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Alignment-based sense selection in METEOR and the RATATOUILLE recipe
Benjamin Marie
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Marianna Apidianaki
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Results of the WMT16 Metrics Shared Task
Ondřej Bojar
|
Yvette Graham
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Amir Kamran
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Miloš Stanojević
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UHH Submission to the WMT17 Metrics Shared Task
Melania Duma
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Wolfgang Menzel
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MEANT 2.0: Accurate semantic MT evaluation for any output language
Chi-kiu Lo
|
Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance
Qingsong Ma
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Ondřej Bojar
|
Yvette Graham
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No URLs Found
Field Of Study
Task
Machine Translation
Language
Chinese
English
Arabic
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