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NAACL
2007
13 years 8 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
2010
13 years 5 months ago
Tackling Sparse Data Issue in Machine Translation Evaluation
We illustrate and explain problems of n-grams-based machine translation (MT) metrics (e.g. BLEU) when applied to morphologically rich languages such as Czech. A novel metric SemPO...
Ondrej Bojar, Kamil Kos, David Marecek
LREC
2010
164views Education» more  LREC 2010»
13 years 8 months ago
Using a Grammar Checker for Evaluation and Postprocessing of Statistical Machine Translation
One problem in statistical machine translation (SMT) is that the output often is ungrammatical. To address this issue, we have investigated the use of a grammar checker for two pu...
Sara Stymne, Lars Ahrenberg
LREC
2008
87views Education» more  LREC 2008»
13 years 8 months ago
Translation Adequacy and Preference Evaluation Tool (TAP-ET)
Evaluation of Machine Translation (MT) technology is often tied to the requirement for tedious manual judgments of translation quality. While automated MT metrology continues to b...
Mark A. Przybocki, Kay Peterson, Sebastien Bronsar...