TTK: A toolkit for Tunisian linguistic analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AWR4HASXC" target="_blank" >RIV/00216208:11320/25:WR4HASXC - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181954060&doi=10.1016%2fj.csl.2023.101617&partnerID=40&md5=ae9e550665373072d2146228fae7a9cc" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181954060&doi=10.1016%2fj.csl.2023.101617&partnerID=40&md5=ae9e550665373072d2146228fae7a9cc</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.csl.2023.101617" target="_blank" >10.1016/j.csl.2023.101617</a>
Alternative languages
Result language
angličtina
Original language name
TTK: A toolkit for Tunisian linguistic analysis
Original language description
Over the last two decades, many efforts have been made to provide resources to support the Arabic Natural Language Processing (NLP). Some of these resources target specific NLP tasks such as word tokenization, parsing, or sentiment analysis, while others attempt to tackle numerous tasks at once. In this paper, we present ¡¡TTK¿¿, a toolkit for Tunisian linguistic analysis. It consists of a collection of linguistic analysis tools for orthographic normalization, sentence boundaries detection, word tokenization, morphological analysis, parsing and named entity recognition. This paper focuses on the design and implementation of TTK tools. © 2024 Elsevier Ltd
Czech name
—
Czech description
—
Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
—
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computer Speech and Language
ISSN
0885-2308
e-ISSN
—
Volume of the periodical
86
Issue of the periodical within the volume
2024
Country of publishing house
US - UNITED STATES
Number of pages
24
Pages from-to
1-24
UT code for WoS article
—
EID of the result in the Scopus database
2-s2.0-85181954060