Sciweavers

118 search results - page 1 / 24
» Robust Machine Translation Evaluation with Entailment Featur...
Sort
View
ACL
2009
13 years 2 months ago
Robust Machine Translation Evaluation with Entailment Features
Existing evaluation metrics for machine translation lack crucial robustness: their correlations with human quality judgments vary considerably across languages and genres. We beli...
Sebastian Padó, Michel Galley, Daniel Juraf...
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,...
LREC
2010
141views Education» more  LREC 2010»
13 years 6 months ago
Building a Textual Entailment Suite for the Evaluation of Automatic Content Scoring Technologies
Automatic content scoring for free-text responses has started to emerge as an application of Natural Language Processing in its own right, much like question answering or machine ...
Jana Z. Sukkarieh, Eleanor Bolge
NLDB
2007
Springer
13 years 10 months ago
DLSITE-1: Lexical Analysis for Solving Textual Entailment Recognition
This paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures. We consider that the entailment phenomenon can ...
Óscar Ferrández, Daniel Micol, Rafae...
NAACL
2007
13 years 5 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