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

**Authors:** Ekaterina Lapshninova-Koltunski, Marcos Zampieri  
**arXiv:** [1709.04359](https://arxiv.org/abs/1709.04359)  
**Date:** 2017-09-13  
**Summary page:** https://www.summarizepaper.com/fr/paper/1709.04359v1/

## 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.