Topic Modelling in Parallel and Comparable Fiction Texts (the case study of English and Russian prose)
advanced information management and service（2017）
摘要
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.
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