Ngram precision
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Publications (7)

1SourceLanguage Features and Maximum Correlation Training for Machine Translation Evaluation2007  Ting Liu,Daniel Gildeafeatures for MT evaluation: sourcesentence constrained ngram precision, sourcesentence reordering metrics, and discriminative...

2Exploiting Variant Corpora for Machine Translation2006  Michael J. Paul,Eiichiro SumitaBLEU metrics, which calculates the geometric mean of ngram precision for the MT outputs found in reference translations (Papineni...

3Examplebased Rescoring of Statistical Machine Translation Outputns (Su et al., 1992) • BLEU: the geometric mean of ngram precision for the translation results found in reference translations...

4Translating with Noncontiguous Phrases2005  Michel Simard,Nicola Cancedda,Bruno Cavestro,Marc Dymetman,Eric Gaussier,Cyril Goutte,Kenji Yamada,Philippe Langlais,Arne MauserBLEU. The NIST evaluation metric computes a weighted ngram precision between T and R, multiplied by a factor B(S, T,R) that...

5Automatic Evaluation of Summaries Using Ngram Cooccurrence Statistics2003  ChinYew Lin,Eduard H. Hovytranslations using ngram cooccurrence statistics. Ngram precision in BLEU is computed as follows: ∑ ∑ ∑ ∑ ∈ ∈− ∈...

6Paraphrasing for Automatic Evaluation2006  David Kauchak,Regina Barzilay√√√√ 4∏ n=1 pn BP = min(1, e1−r/c), where pn is the ngram precision, c is the cardinality of the set of candidate sentences...

7Improvements in PhraseBased Statistical Machine Translation2004  Richard Zens,Hermann Neyscore: This score is similar to BLEU. It is a weighted ngram precision in combination with a penalty for too short sentences...