Automatic Identification of Academic Phrases for Czech

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F19%3A10402555" target="_blank" >RIV/00216208:11210/19:10402555 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/978-3-030-30135-4_17" target="_blank" >https://doi.org/10.1007/978-3-030-30135-4_17</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-30135-4_17" target="_blank" >10.1007/978-3-030-30135-4_17</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Identification of Academic Phrases for Czech

Popis výsledku v původním jazyce

The aim of this study is to automatically extract academic phrases in Czech using data-mining techniques as a first step towards creating a dictionary of academic words and phrases targeting university-level students (L1 and L2). The decision to use data mining was based on excellent results of data mining in automatic recognition of single-word and multi-word terms [10]. This method has identified various types of academic phrases: structurally incomplete lexical bundles with specific functions in texts (e.g. na druhou stranu - on the other hand), collocations (e.g. podrobná analýza - detailed analysis) or combinations of a content word and a typical function word (e.g. zaměřený na - focused on; podobný jako - similar to). The final list of automatically identified academic phrases is quite extensive and consists of 7,300 bigrams. Manual evaluation of the output data sample showed that precision of the automatic identification method is more than 72% and recall is 81%. The list of identified academic phrases is a very good starting point for the planned dictionary because the majority of the extracted bigrams constitute collocations typically used for academic texts. Such collocations are useful for the target audience, that is, university students interested in academic writing.

Název v anglickém jazyce

Automatic Identification of Academic Phrases for Czech

Popis výsledku anglicky

The aim of this study is to automatically extract academic phrases in Czech using data-mining techniques as a first step towards creating a dictionary of academic words and phrases targeting university-level students (L1 and L2). The decision to use data mining was based on excellent results of data mining in automatic recognition of single-word and multi-word terms [10]. This method has identified various types of academic phrases: structurally incomplete lexical bundles with specific functions in texts (e.g. na druhou stranu - on the other hand), collocations (e.g. podrobná analýza - detailed analysis) or combinations of a content word and a typical function word (e.g. zaměřený na - focused on; podobný jako - similar to). The final list of automatically identified academic phrases is quite extensive and consists of 7,300 bigrams. Manual evaluation of the output data sample showed that precision of the automatic identification method is more than 72% and recall is 81%. The list of identified academic phrases is a very good starting point for the planned dictionary because the majority of the extracted bigrams constitute collocations typically used for academic texts. Such collocations are useful for the target audience, that is, university students interested in academic writing.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

60203 - Linguistics

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

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

Computational and Corpus-Based Phraseology

ISBN

978-3-030-30134-7

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

12

Strana od-do

227-238

Název nakladatele

Springer

Místo vydání

Málaga, Španělsko

Místo konání akce

Málaga, Španělsko

Datum konání akce

25. 9. 2019

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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