Hluboké učení v automatické analýze českého textu

• Authors: Jana Straková , Milan Straka , Jan Hajič , Martin Popel

Title variants

EN

Deep learning in the automatic analysis of Czech text

• Languages of publication: CS

Abstracts

EN

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.

Keywords

CS

umělé neuronové sítě; hluboké učení; morfologické značkování; rozpoznávání pojmenovaných entit; závislostní analýza; strojový překlad

EN

artificial neural networks; deep learning; morphological tagging; named entity recognition; dependency analysis; machine translation

Discipline

• PHILOLOGY_&_LINGUISTICS: PHILOLOGY & LINGUISTICS

• Publisher: Institute of the Czech Language, Czech Academy of Sciences
• Journal: Slovo a slovesnost: časopis pro otázky teorie a kultury jazyka (Slovo a slovesnost: A journal for the theory of language and language cultivation)
• Year: 2019
• Volume: 80
• Issue: 4
• Pages: 306-327
• Document type: ARTICLE

Contributors

author

Jana Straková

• Slovo a slovesnost, redakce, Ústav pro jazyk český AV ČR, v.v.i., Letenská 4, 118 51 Praha 1, Czech Republic

author

Milan Straka

• Slovo a slovesnost, redakce, Ústav pro jazyk český AV ČR, v.v.i., Letenská 4, 118 51 Praha 1, Czech Republic

author

Jan Hajič

• Slovo a slovesnost, redakce, Ústav pro jazyk český AV ČR, v.v.i., Letenská 4, 118 51 Praha 1, Czech Republic

author

Martin Popel

• Slovo a slovesnost, redakce, Ústav pro jazyk český AV ČR, v.v.i., Letenská 4, 118 51 Praha 1, Czech Republic