Topic Modelling in Parallel and Comparable Fiction Texts (the case study of English and Russian prose)
Olga Aleksandrovna Mitrofanova, Anastasiia Sedova · 2017
The paper is devoted to processing parallel and comparable corpora by means of topic modelling. We focus our attention on Russian and English parallel and comparable texts. We use Latent Dirichlet Allocation (LDA) algorithm for building topic models of fiction texts, evaluation of compatibility for the original text and its translation(s), selection of possible translation equivalents.