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» Evaluation Metrics for Knowledge-Based Machine Translation
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ACL
2008
13 years 8 months ago
MAXSIM: A Maximum Similarity Metric for Machine Translation Evaluation
We propose an automatic machine translation (MT) evaluation metric that calculates a similarity score (based on precision and recall) of a pair of sentences. Unlike most metrics, ...
Yee Seng Chan, Hwee Tou Ng
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
ICCBR
2010
Springer
13 years 5 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...