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Česílko 2.0 Shallow Transfer RBMT framework (opensource version)
Vičič, Jernej; Kuboň, Vladislav; Homola, Petr. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
Abstract: The system Česílko (language data and software tools) was first developed as an answer to a growing need of translation and localisation from one source language to many target languages. The starting system belonged to the Shallow Parse, Shallow Transfer Rule-Based Machine Translation – (RBMT) paradigm and it was designed primarily for translation of related languages. The latest implementation of the system uses a stochastic ranker; so technically it belongs to the hybrid machine translation paradigm, using stochastic methods combined with the traditional Shallow Transfer RBMT methods. The system has been stripped of the accompanying language resources due to copyright restrictions. The data that is available is just for demonstrative purposes.
Keyword: related languages; Shallow Parse; Shallow Transfer Rule-Based Machine Translation; stochastic ranker; toolbox
URL: http://hdl.handle.net/11234/1-2812
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2
Prague Dependency Treebank 3.5
Hajič, Jan; Bejček, Eduard; Bémová, Alevtina. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2018
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