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Neural machine translation evaluation & error analysis in a Spanish-Korean translation
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In: TDX (Tesis Doctorals en Xarxa) (2019)
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Study Of Syntactic Errors For Deep Parsing At Machine Translation ...
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Study Of Syntactic Errors For Deep Parsing At Machine Translation ...
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A linguistically motivated taxonomy for Machine Translation error analysis
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Translation errors from English to Portuguese ; an annotated corpus
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Translation technology explored: Has a three-year maturation period done Google Translate any good?
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In: Stellenbosch Papers in Linguistics Plus, Vol 43, Iss 0, Pp 235-259 (2014) (2014)
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Automatic MT Error Analysis: Hjerson Helping Addicter
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In: http://ufal.mff.cuni.cz/~bojar/publications/2012-FILE-addicter_lrec2012-2012-lrec-hjerson-helping-addicter.pdf (2012)
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Abstract:
We present a complex, open source tool for detailed machine translation error analysis providing the user with automatic error detection and classification, several monolingual alignment algorithms as well as with training and test corpus browsing. The tool is the result of a merge of automatic error detection and classification of Hjerson (Popović, 2011) and Addicter (Zeman et al., 2011) into the pipeline and web visualization of Addicter. It classifies errors into categories similar to those of Vilar et al. (2006), such as: morphological, reordering, missing words, extra words and lexical errors. The graphical user interface shows alignments in both training corpus and test data; the different classes of errors are colored. Also, the summary of errors can be displayed to provide an overall view of the MT system’s weaknesses. The tool was developed in Linux, but it was tested on Windows too.
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Keyword:
error analysis; machine translation; visualization
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URL: http://ufal.mff.cuni.cz/~bojar/publications/2012-FILE-addicter_lrec2012-2012-lrec-hjerson-helping-addicter.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.467.4362
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Error detection for post-editing rule-based machine translation
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