5 Syntactic Parsing of Persian: From Theory to Practice
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AAMJZYKWG" target="_blank" >RIV/00216208:11320/23:AMJZYKWG - isvavai.cz</a>
Result on the web
<a href="https://books.google.com/books?hl=cs&lr=&id=mmu8EAAAQBAJ&oi=fnd&pg=PA105&dq=%22Universal%2BDependency%22&ots=IUYKjx3CaJ&sig=OyUnu4tW2m-3IjYdQvZWHxDs7zQ" target="_blank" >https://books.google.com/books?hl=cs&lr=&id=mmu8EAAAQBAJ&oi=fnd&pg=PA105&dq=%22Universal%2BDependency%22&ots=IUYKjx3CaJ&sig=OyUnu4tW2m-3IjYdQvZWHxDs7zQ</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1515/9783110619225-005" target="_blank" >10.1515/9783110619225-005</a>
Alternative languages
Result language
angličtina
Original language name
5 Syntactic Parsing of Persian: From Theory to Practice
Original language description
"This chapter synthesizes the most prominent Natural Language Processing (NLP) studies conducted on Persian, focusing on text processing. The first section contains selected tasks from the NLP pipeline, such as text preprocessing, tokenization, POS tagging, syntactic parsing, treebank annotation or semantic analysis along with examples of how researchers approached the problem for Persian and, where applicable, examples of tools developed to perform given tasks. The following section discusses the application of Persian NLP like spell-checking, information retrieval, machine translation or sentiment analysis. Finally, the last section summarizes the Persian NLP corpora and other resources."
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
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
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
"Persian Computational Linguistics and NLP"
ISBN
978-3-11-061654-5
Number of pages of the result
44
Pages from-to
105-148
Number of pages of the book
382
Publisher name
Walter de Gruyter GmbH & Co KG
Place of publication
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UT code for WoS chapter
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