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LEPOR
LEPOR is an automatic language independent machine translation evaluation metric with tunable parameters and reinforced factors.
==Background==
Since IBM proposed and realized the system of BLEU 〔Papineni et al., (2002)〕 as the automatic metric for Machine Translation (MT) evaluation, many other methods have been proposed to revise or improve it, such as TER, METEOR,〔Banerjee and Lavie, (2005)〕 etc. However, there exist some problems in the traditional automatic evaluation metrics. Some metrics perform well on certain languages but weak on other languages, which is usually called as language bias problem. Some metrics rely on a lot of language features or linguistic information, which makes it difficult for other researchers to repeat the experiments. LEPOR is an automatic evaluation metric that tries to address some of the existing problems.〔Han et al., (2012)〕 LEPOR is designed with augmented factors and the corresponding tunable parameters to address the language bias problem. Furthermore, in the improved version of LEPOR, i.e. the hLEPOR,〔Han et al., (2013a)〕 it tries to use the optimized linguistic features that are extracted from treebanks. Another advanced version of LEPOR is the nLEPOR metric,〔Han et al., (2013b)〕 which adds the n-gram features into the previous factors. So far, the LEPOR metric has been developed into LEPOR series.〔Han et al., (2014)〕
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