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Linguistic features of genre and method variation in translation: A computational perspective
Lapshinova-Koltunski, Ekaterina Zampieri, Marcos
Lapshinova-Koltunski, Ekaterina
Zampieri, Marcos
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2018-04-09
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In this contribution we describe the use of text classification methods to investigate genre and method variation in an English - German translation corpus. For this purpose we use linguistically motivated features representing texts using a combination of part-of-speech tags arranged in bigrams, trigrams, and 4-grams. The classification method used in this study is a Bayesian classifier with Laplace smoothing. We use the output of the classifiers to carry out an extensive feature analysis on the main difference between genres and methods of translation.
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Ekaterina Lapshinova-Koltunski, Marcos Zampieri (2018). Linguistic features of genre and method variation in translation: a computational perspective. In Dominique Legallois, Thierry Charnois, Meri Larjavaara (Eds.), The Grammar of Genres and Styles: From Discrete to Non-Discrete Units (pp. 92–117). Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110595864-005
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en
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From The Grammar of Genres and Styles - From Discrete to Non-Discrete Units. Edited by Legallois, D., Charnois, T. and Larjavaara, M.
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9783110595864
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Attribution-NonCommercial-NoDerivs 3.0 United States