Bilingual Logical Analysis of Natural Language Sentences
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00088451" target="_blank" >RIV/00216224:14330/16:00088451 - 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
Bilingual Logical Analysis of Natural Language Sentences
Original language description
One of the main aims of logical analysis of natural language ex- pressions lies in the task to capture the meaning structures independently on the selected “mean of transport,” i.e. on a particular natural language used. Logical analysis should just offer a “bridge between language ex-pressions.” In this paper, we show the preliminary results of automated bilingual logical analysis, namely the analysis of English and Czech sentences. The underlying logical formalism, the Transparent Intensional Logic (TIL), is a representative of a higher-order temporal logic designed to express full meaning relations of natural language expressions. We present the details of the current development and preparations of the supportive lexicons for the AST (automated semantic analysis) tool when working with a new language, i.e. English. The AST provides an implementation of the Normal Translation Algorithm for TIL aiming to offer a normative logical analysis of the input sentences.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Tenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2016
ISBN
9788026310952
ISSN
2336-4289
e-ISSN
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Number of pages
10
Pages from-to
69-78
Publisher name
Tribun EU
Place of publication
Brno
Event location
Karlova Studánka
Event date
Jan 1, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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