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A Smorgasbord of Features for Automatic MT Evaluation
Jesús Giménez
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Lluís Màrquez
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Paper Details:
Month: June
Year: 2008
Location: Columbus, Ohio
Venue:
WMT |
WS |
SIG: SIGMT
Citations
URL
MEANT: An inexpensive, high-accuracy, semi-automatic metric for evaluating translation utility based on semantic roles
Chi-kiu Lo
|
Dekai Wu
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Improving machine translation by training against an automatic semantic frame based evaluation metric
Chi-kiu Lo
|
Karteek Addanki
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Markus Saers
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Dekai Wu
|
XMEANT: Better semantic MT evaluation without reference translations
Chi-kiu Lo
|
Meriem Beloucif
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Markus Saers
|
Dekai Wu
|
Findings of the 2009 Workshop on Statistical Machine Translation
Chris Callison-Burch
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Philipp Koehn
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Christof Monz
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Josh Schroeder
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Machine Translation Evaluation with Textual Entailment Features
Sebastian Padó
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Michel Galley
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Daniel Jurafsky
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Christopher D. Manning
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Combining Multi-Engine Translations with Moses
Yu Chen
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Michael Jellinghaus
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Andreas Eisele
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Yi Zhang
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Sabine Hunsicker
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Silke Theison
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Christian Federmann
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Hans Uszkoreit
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Document-Level Automatic MT Evaluation based on Discourse Representations
Elisabet Comelles
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Jesús Giménez
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Lluís Màrquez
|
Irene Castellón
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Victoria Arranz
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TESLA: Translation Evaluation of Sentences with Linear-Programming-Based Analysis
Chang Liu
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Daniel Dahlmeier
|
Hwee Tou Ng
|
Fully Automatic Semantic MT Evaluation
Chi-kiu Lo
|
Anand Karthik Tumuluru
|
Dekai Wu
|
Unsupervised vs. supervised weight estimation for semantic MT evaluation metrics
Chi-kiu Lo
|
Dekai Wu
|
MEANT at WMT 2013: A Tunable, Accurate yet Inexpensive Semantic Frame Based MT Evaluation Metric
Chi-kiu Lo
|
Dekai Wu
|
The Impact of Multiword Expression Compositionality on Machine Translation Evaluation
Bahar Salehi
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Nitika Mathur
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Paul Cook
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Timothy Baldwin
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http://www.lsi.upc.edu/
Field Of Study
Linguistic Trends
Discourse
Task
Machine Translation
Language
English
Spanish
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