Deep learning in the automatic analysis of Czech text Cover Image

Hluboké učení v automatické analýze českého textu
Deep learning in the automatic analysis of Czech text

Author(s): Jana Straková, Milan Straka, Jan Hajič, Martin Popel
Subject(s): Computational linguistics
Published by: AV ČR - Akademie věd České republiky - Ústav pro jazyk český
Keywords: artificial neural networks; deep learning; morphological tagging; named entity recognition; dependency analysis; machine translation

Summary/Abstract: The deep learning methods of artificial neural networks have seen a significant uptake in recent years, and have succeeded in overcoming and advancing the success of auto-solving tasks in many fields. The field of computational linguistics and its application offshoot, natural language processing, with classic tasks such as morphological tagging, dependency analysis, named entity recognition and machine translation, are no exception to this. This paper provides an overview of recent advances in these tasks related to the Czech language and presents completely new results in the areas of morphological marking and recognition of named entities in Czech, along with a detailed error analysis.

  • Issue Year: 80/2019
  • Issue No: 4
  • Page Range: 306-327
  • Page Count: 22
  • Language: Czech