Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390174" target="_blank" >RIV/00216208:11320/18:10390174 - isvavai.cz</a>
Result on the web
<a href="http://www.lrec-conf.org/proceedings/lrec2018/pdf/231.pdf" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2018/pdf/231.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Semi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)
Original language description
The paper presents a semi-automatic method for the construction of derivational networks. The proposed approach applies a sequential pattern mining technique in order to construct useful morphological features in an unsupervised manner. The features take the form of regular expressions and later are used to feed a machine-learned ranking model. The network is constructed by applying resulting model to sort the lists of possible base words and selecting the most probable ones. This approach, besides relatively small training set and a lexicon, does not require any additional language resources such as a list of alternations groups, POS tags etc. The proposed approach is applied to the lexeme sets of two languages, namely Polish and Spanish, which results in the establishment of two novel word-formation networks. Finally, the network constructed for Polish is merged with the derivational connections extracted from the Polish WordNet and those resulting from the derivational rules developed by a linguist
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
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 11th International Conference on Language Resources and Evaluation (LREC 2018)
ISBN
979-10-95546-00-9
ISSN
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e-ISSN
neuvedeno
Number of pages
8
Pages from-to
1853-1860
Publisher name
European Language Resources Association
Place of publication
Paris, France
Event location
Miyazaki, Japan
Event date
May 7, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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