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LREC
2010
150views Education» more  LREC 2010»
14 years 11 months ago
A Dataset for Assessing Machine Translation Evaluation Metrics
We describe a dataset containing 16,000 translations produced by four machine translation systems and manually annotated for quality by professional translators. This dataset can ...
Lucia Specia, Nicola Cancedda, Marc Dymetman
80
Voted
ICCBR
2010
Springer
14 years 8 months ago
Applying Machine Translation Evaluation Techniques to Textual CBR
The need for automated text evaluation is common to several AI disciplines. In this work, we explore the use of Machine Translation (MT) evaluation metrics for Textual Case Based R...
Ibrahim Adeyanju, Nirmalie Wiratunga, Robert Lothi...
LREC
2010
164views Education» more  LREC 2010»
14 years 11 months ago
Evaluating Machine Translation Utility via Semantic Role Labels
We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation...
Chi-kiu Lo, Dekai Wu
EMNLP
2006
14 years 11 months ago
Re-evaluating Machine Translation Results with Paraphrase Support
In this paper, we present ParaEval, an automatic evaluation framework that uses paraphrases to improve the quality of machine translation evaluations. Previous work has focused on...
Liang Zhou, Chin-Yew Lin, Eduard H. Hovy
108
Voted
ACL
2012
12 years 12 months ago
Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage...
Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan