Automatic Identification of Academic Phrases for Czech
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Automatic Identification of Academic Phrases for Czech
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational and Corpus-Based Phraseology
ISBN
978-3-030-30134-7
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
227-238
Publisher name
Springer
Place of publication
Málaga, Španělsko
Event location
Málaga, Španělsko
Event date
Sep 25, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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