Resources and components for gujarati NLP systems: a survey

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AW5WIZTGT" target="_blank" >RIV/00216208:11320/22:W5WIZTGT - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1007/s10462-021-10120-1" target="_blank" >https://doi.org/10.1007/s10462-021-10120-1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s10462-021-10120-1" target="_blank" >10.1007/s10462-021-10120-1</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Resources and components for gujarati NLP systems: a survey

Popis výsledku v původním jazyce

Natural Language Processing (NLP) represents the task of automatic handling of natural human language by machines. There is a large spectrum of possible NLP applications which aid in automating tasks like text translation amongst languages, retrieving and summarizing data from very huge and complex repositories, spam email filtering, identifying fake news in digital media, finding political opinions, views and sentiments of people on various government policies, providing effective medical assistance based on past history records of patients etc. Gujarati language is an Indian language with more than sixty million users worldwide. At present, many efforts are laid for developing NLP applications and resources for Indian languages. This survey gives a taxonomy and comprehensive report regarding component and resource development for Gujarati NLP systems. Also, few prominent tools available in open domain are tested, and their posterior analysis is presented. Possible measures to handle the issues in resource and component development of Gujarati NLP system are also discussed. This report might be useful for industry, researchers and academicians to have a clear picture of the research gaps, challenges and opportunities in Gujarati NLP systems.

Název v anglickém jazyce

Resources and components for gujarati NLP systems: a survey

Popis výsledku anglicky

Natural Language Processing (NLP) represents the task of automatic handling of natural human language by machines. There is a large spectrum of possible NLP applications which aid in automating tasks like text translation amongst languages, retrieving and summarizing data from very huge and complex repositories, spam email filtering, identifying fake news in digital media, finding political opinions, views and sentiments of people on various government policies, providing effective medical assistance based on past history records of patients etc. Gujarati language is an Indian language with more than sixty million users worldwide. At present, many efforts are laid for developing NLP applications and resources for Indian languages. This survey gives a taxonomy and comprehensive report regarding component and resource development for Gujarati NLP systems. Also, few prominent tools available in open domain are tested, and their posterior analysis is presented. Possible measures to handle the issues in resource and component development of Gujarati NLP system are also discussed. This report might be useful for industry, researchers and academicians to have a clear picture of the research gaps, challenges and opportunities in Gujarati NLP systems.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Artificial Intelligence Review [online]

ISSN

1573-7462

e-ISSN

1573-7462

Svazek periodika

55

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

JP - Japonsko

Počet stran výsledku

19

Strana od-do

1-19

Kód UT WoS článku

000743000400001

EID výsledku v databázi Scopus

2-s2.0-85124138738