Multilinguality Adaptations of Natural Language Logical Analyzer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00095302" target="_blank" >RIV/00216224:14330/17:00095302 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multilinguality Adaptations of Natural Language Logical Analyzer
Original language description
The AST (automated semantic analysis) system serves as a final pipeline component in translating natural language sentences to formulae of higher-order logic formalism, the Transparent Intensional Logic (TIL). TIL was designed as a full expressive tool capable of representing complex meaning relations of natural language expressions. AST was designed as a language independent tool, which was originally developed for the Czech language. In this paper, we summarize the latest development of AST aiming at easy transfer of the underlying lexicons and rules to other languages. The changes are test with the English language selected as a representative of a different language family than Czech having general multilingual applicability of the process in mind.
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
<a href="/en/project/GA15-13277S" target="_blank" >GA15-13277S: Hyperintensional logic for natural language analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
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 Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017
ISBN
9788026313403
ISSN
2336-4289
e-ISSN
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Number of pages
8
Pages from-to
51-58
Publisher name
Tribun EU
Place of publication
Brno
Event location
Karlova Studánka
Event date
Jan 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426613500006