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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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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland, UK.
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Probabilistic Finite State Machines for Regression-based MT Evaluation
Mengqiu Wang
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Christopher D. Manning
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Multi-Metric Optimization Using Ensemble Tuning
Baskaran Sankaran
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Anoop Sarkar
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Kevin Duh
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Bayesian Supervised Domain Adaptation for Short Text Similarity
Md Arafat Sultan
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Jordan Boyd-Graber
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Tamara Sumner
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Learning to Translate with Multiple Objectives
Kevin Duh
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Katsuhito Sudoh
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Xianchao Wu
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Hajime Tsukada
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Masaaki Nagata
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Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
Chang Liu
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Hwee Tou Ng
|
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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Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation
Rico Sennrich
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DLS@CU at SemEval-2016 Task 1: Supervised Models of Sentence Similarity
Md Arafat Sultan
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Steven Bethard
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Tamara Sumner
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TESLA at WMT 2011: Translation Evaluation and Tunable Metric
Daniel Dahlmeier
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Chang Liu
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Hwee Tou Ng
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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
Kyunghyun Cho
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Bart van Merriënboer
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Dzmitry Bahdanau
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Yoshua Bengio
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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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Multi-level Evaluation for Machine Translation
Boxing Chen
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Hongyu Guo
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Roland Kuhn
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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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http://nlp.comp.nus.edu.sg/software
Field Of Study
Task
Machine Translation
Language
English
Spanish
French
Dataset
News
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