D 2016

Evaluation and Improvements in Punctuation Detection for Czech

KOVÁŘ, Vojtěch, Jakub MACHURA, Kristýna ZEMKOVÁ and Michal ROTT

Basic information

Original name

Evaluation and Improvements in Punctuation Detection for Czech

Authors

KOVÁŘ, Vojtěch (203 Czech Republic, guarantor, belonging to the institution), Jakub MACHURA (203 Czech Republic, belonging to the institution), Kristýna ZEMKOVÁ (203 Czech Republic, belonging to the institution) and Michal ROTT (203 Czech Republic)

Edition

Cham (CH), Text, Speech, and Dialogue 19th International Conference, TSD 2016 Brno, Czech Republic, September 12–16, 2016 Proceedings, p. 287-294, 8 pp. 2016

Publisher

Springer

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

Impact factor

Impact factor: 0.402 in 2005

RIV identification code

RIV/00216224:14210/16:00088271

Organization unit

Faculty of Arts

ISBN

978-3-319-45509-9

ISSN

UT WoS

000389707400033

Keywords in English

automatic punctuation detection

Tags

Tags

International impact, Reviewed
Změněno: 16/1/2018 16:56, Mgr. Jakub Machura, Ph.D.

Abstract

V originále

Punctuation detection and correction belongs to the hardest automatic grammar checking tasks for the Czech language. The paper compares available grammar and punctuation correction programs on several data sets. It also describes a set of improvements of one of the available tools, leading to significantly better recall, as well as precision.

Links

GA15-13277S, research and development project
Name: Hyperintensionální logika pro analýzu přirozeného jazyka
Investor: Czech Science Foundation
MUNI/A/0863/2015, interní kód MU
Name: Čeština v jednotě synchronie a diachronie - 2016
Investor: Masaryk University, Category A
MUNI/A/0915/2016, interní kód MU
Name: Čeština v jednotě synchronie a diachronie - 2017
Investor: Masaryk University, Category A
7F14047, research and development project
Name: Harvesting big text data for under-resourced languages (Acronym: HaBiT)
Investor: Ministry of Education, Youth and Sports of the CR