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Computer Science > Computation and Language

Title: Linguistic Features of Genre and Method Variation in Translation: A Computational Perspective

Abstract: In this paper 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 paper 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.
Comments: To appear as a book chapter in Grammar of Genres and Styles. De Gruyter
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:1709.04359 [cs.CL]
  (or arXiv:1709.04359v1 [cs.CL] for this version)

Submission history

From: Marcos Zampieri [view email]
[v1] Wed, 13 Sep 2017 14:46:50 GMT (28kb)