Automatic Text Generation in Slovak Language

Abstract

Automatic text generation can significantly help to ease human effort in many every-day tasks. Recent advancements in neural networks supported further research in this area and also brought significant improvement in quality of text generation. Unfortunately, most of the research deals with English language and possibilities of text generation of Slavic languages was not fully explored yet. Our work is concerned with automatic text generation and language modeling for Slovak language. Since Slovak language has more complicated grammatical structure and morphology, the task of text generation is also more challenging. We experimented with the neural approaches in natural language generation and performed several experiments with text generation in both Slovak and English language for two different domains. Additionally, we performed an experiment with human annotators to assess the quality of generated texts. Our experiments showed promising results and we can consider using neural networks for text generation as sufficient also for text generation in Slovak language.