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MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles
Chi-kiu Lo
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Dekai Wu
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Paper Details:
Month: June
Year: 2011
Location: Portland, Oregon, USA
Venue:
ACL |
Citations
URL
Probabilistic Finite State Machines for Regression-based MT Evaluation
Mengqiu Wang
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Christopher D. Manning
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Is Machine Translation Getting Better over Time?
Yvette Graham
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Timothy Baldwin
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Alistair Moffat
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Justin Zobel
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Integrating Meaning into Quality Evaluation of Machine Translation
Osman Başkaya
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Eray Yildiz
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Doruk Tunaoğlu
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Mustafa Tolga Eren
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A. Seza Doğruöz
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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Adam Poliak
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Yonatan Belinkov
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James Glass
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Benjamin Van Durme
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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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XMEANT: Better semantic MT evaluation without reference translations
Chi-kiu Lo
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Meriem Beloucif
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Markus Saers
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Dekai Wu
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Representation Based Translation Evaluation Metrics
Boxing Chen
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Hongyu Guo
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SAGAN: An approach to Semantic Textual Similarity based on Textual Entailment
Julio Castillo
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Paula Estrella
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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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Semantic Textual Similarity for MT evaluation
Julio Castillo
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Paula Estrella
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Fully Automatic Semantic MT Evaluation
Chi-kiu Lo
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Anand Karthik Tumuluru
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Dekai Wu
|
Towards a Predicate-Argument Evaluation for MT
Ondřej Bojar
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Dekai Wu
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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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The Feasibility of HMEANT as a Human MT Evaluation Metric
Alexandra Birch
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Barry Haddow
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Ulrich Germann
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Maria Nadejde
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Christian Buck
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Philipp Koehn
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MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric
Chi-kiu Lo
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Dekai Wu
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Beyond Linguistic Equivalence. An Empirical Study of Translation Evaluation in a Translation Learner Corpus
Mihaela Vela
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Anne-Kathrin Schumann
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Andrea Wurm
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Better Semantic Frame Based MT Evaluation via Inversion Transduction Grammars
Dekai Wu
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Chi-kiu Lo
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Meriem Beloucif
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Markus Saers
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Applying HMEANT to English-Russian Translations
Alexander Chuchunkov
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Alexander Tarelkin
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Irina Galinskaya
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Syntax and Semantics in Quality Estimation of Machine Translation
Rasoul Kaljahi
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Jennifer Foster
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Johann Roturier
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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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Semantics-based pretranslation for SMT using fuzzy matches
Tom Vanallemeersch
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Vincent Vandeghinste
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Improving Chinese-English PropBank Alignment
Shumin Wu
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Martha Palmer
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Translating Negation: A Manual Error Analysis
Federico Fancellu
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Bonnie Webber
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Multi-level Evaluation for Machine Translation
Boxing Chen
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Hongyu Guo
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Roland Kuhn
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Predicting Machine Translation Adequacy with Document Embeddings
Mihaela Vela
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Liling Tan
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Assessing linguistically aware fuzzy matching in translation memories
Tom Vanallemeersch
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Vincent Vandeghinste
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Re-assessing the WMT2013 Human Evaluation with Professional Translators Trainees
Mihaela Vela
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Josef van Genabith
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Target-Side Generation of Prepositions for SMT
Marion Weller
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Alexander Fraser
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Sabine Schulte im Walde
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Evaluating the morphological competence of Machine Translation Systems
Franck Burlot
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François Yvon
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MEANT 2.0: Accurate semantic MT evaluation for any output language
Chi-kiu Lo
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Content Aware Source Code Change Description Generation
Pablo Loyola
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Edison Marrese-Taylor
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Jorge Balazs
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Yutaka Matsuo
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Fumiko Satoh
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No URLs Found
Field Of Study
Linguistic Trends
Syntax
Task
Semantic Parsing
Machine Translation
Paraphrasing
Language
Chinese
English
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