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ACL
2006
13 years 6 months ago
Stochastic Iterative Alignment for Machine Translation Evaluation
A number of metrics for automatic evaluation of machine translation have been proposed in recent years, with some metrics focusing on measuring the adequacy of MT output, and othe...
Ding Liu, Daniel Gildea
ACL
2009
13 years 2 months ago
The Contribution of Linguistic Features to Automatic Machine Translation Evaluation
A number of approaches to Automatic MT Evaluation based on deep linguistic knowledge have been suggested. However, n-gram based metrics are still today the dominant approach. The ...
Enrique Amigó, Jesús Giménez,...
NAACL
2007
13 years 6 months ago
Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
Ding Liu, Daniel Gildea
ACL
2007
13 years 6 months ago
Improved Word-Level System Combination for Machine Translation
Recently, confusion network decoding has been applied in machine translation system combination. Due to errors in the hypothesis alignment, decoding may result in ungrammatical co...
Antti-Veikko I. Rosti, Spyridon Matsoukas, Richard...
ACL
2012
11 years 7 months ago
Character-Level Machine Translation Evaluation for Languages with Ambiguous Word Boundaries
In this work, we introduce the TESLACELAB metric (Translation Evaluation of Sentences with Linear-programming-based Analysis – Character-level Evaluation for Languages with Ambi...
Chang Liu, Hwee Tou Ng