Using a Parallel Corpus to Adapt the Flesch Reading Ease Formula to Czech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10440420" target="_blank" >RIV/00216208:11320/21:10440420 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qOdSe-MBJB" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qOdSe-MBJB</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2478/jazcas-2021-0044" target="_blank" >10.2478/jazcas-2021-0044</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Using a Parallel Corpus to Adapt the Flesch Reading Ease Formula to Czech

Popis výsledku v původním jazyce

Text readability metrics assess how much effort a reader must put into comprehending a given text. They are e.g., used to choose appropriate readings for different student proficiency levels, or to make sure that crucial information is efficiently conveyed (e.g., in an emergency). Flesch Reading Ease is such a globally used formula that it is even integrated into the MS Word Processor. However, its constants are language dependent. The original formula was created for English. So far it has been adapted to several European languages, Bangla, and Hindi. This paper describes the Czech adaptation, with the language-dependent constants optimized by a machine-learning algorithm working on parallel corpora of Czech with English, Russian, Italian, and French.

Název v anglickém jazyce

Using a Parallel Corpus to Adapt the Flesch Reading Ease Formula to Czech

Popis výsledku anglicky

Text readability metrics assess how much effort a reader must put into comprehending a given text. They are e.g., used to choose appropriate readings for different student proficiency levels, or to make sure that crucial information is efficiently conveyed (e.g., in an emergency). Flesch Reading Ease is such a globally used formula that it is even integrated into the MS Word Processor. However, its constants are language dependent. The original formula was created for English. So far it has been adapted to several European languages, Bangla, and Hindi. This paper describes the Czech adaptation, with the language-dependent constants optimized by a machine-learning algorithm working on parallel corpora of Czech with English, Russian, Italian, and French.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Jazykovedný Časopis

ISSN

0021-5597

e-ISSN

—

Svazek periodika

2

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

SK - Slovenská republika

Počet stran výsledku

11

Strana od-do

477-487

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85123542561