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1
Quantitative Fine-Grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian ...
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Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
In: Articles (2018)
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Fine-grained human evaluation of neural versus phrase-based machine translation ...
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4
Serbian-English parallel corpus srenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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5
Finnish-English parallel corpus fienWaC 1.0
Abstract: The fienWaC corpus version 1.0 consists of parallel Finnish-English texts crawled from the .fi top-level domain for Finland. The corpus was built with Spidextor (https://github.com/abumatran/spidextor), a tool that glues together the output of SpiderLing used for crawling and Bitextor used for bitext extraction. The accuracy of the extracted bitext, given the evaluation results on other languages, can be estimated at 74% on the segment level and 76% on the word level.
Keyword: multilingual; parallel corpus; web corpus
URL: http://hdl.handle.net/11356/1060
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6
Tourism English-Croatian Parallel Corpus 2.0
Toral, Antonio; Esplà-Gomis, Miquel; Klubička, Filip. - : Abu-MaTran project, 2016
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7
Croatian-English parallel corpus hrenWaC 2.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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8
Slovene-English parallel corpus slenWaC 1.0
Ljubešić, Nikola; Esplà-Gomis, Miquel; Ortiz Rojas, Sergio. - : Jožef Stefan Institute, 2016
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