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|Title:||Maxsim: Performance and effects of translation fluency||Authors:||Chan, Y.S.
Machine translation evaluation
|Issue Date:||2009||Citation:||Chan, Y.S., Ng, H.T. (2009). Maxsim: Performance and effects of translation fluency. Machine Translation 23 (2-3) : 157-168. ScholarBank@NUS Repository. https://doi.org/10.1007/s10590-009-9058-5||Abstract:||This paper evaluates the performance of our recently proposed automatic machine translation evaluation metric MaxSim and examines the impact of translation fluency on the metric. MaxSim calculates a similarity score between a pair of English system-reference sentences by comparing information items such as n-grams across the sentence pair. Unlike most metrics which perform binary matching, MaxSim also computes similarity scores between items and models them as nodes in a bipartite graph to select a maximum weight matching. Our experiments show that MaxSim is competitive with state-of-the-art metrics on benchmark datasets. © Springer Science+Business Media B.V. 2009.||Source Title:||Machine Translation||URI:||http://scholarbank.nus.edu.sg/handle/10635/39779||ISSN:||09226567||DOI:||10.1007/s10590-009-9058-5|
|Appears in Collections:||Staff Publications|
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