Developing, Compiling and Annotating Corpora for the Persian Language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3AZLV5VWC8" target="_blank" >RIV/00216208:11320/26:ZLV5VWC8 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-031-98989-6_2" target="_blank" >http://dx.doi.org/10.1007/978-3-031-98989-6_2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-98989-6_2" target="_blank" >10.1007/978-3-031-98989-6_2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Developing, Compiling and Annotating Corpora for the Persian Language

Popis výsledku v původním jazyce

In this chapter, we briefly overview the general criteria that have to be taken into consideration while developing a corpus. Developing a corpus for the Persian language is challenging. In this chapter, the challenges are discussed and categorized. Then, we discuss the steps that have to be taken to make the developed corpus usable for natural language processing techniques. Furthermore, we explain how the data can be annotated. In the rest of this chapter, the sketch of supervised, semi-supervised, and unsupervised machine learning methods for data annotation is briefly explained. We collect 167 research papers that developed a corpus for their study; then, we categorize them based on the task and the corpus size. The annotated data has to be standardized. We briefly introduce the major standards used for structuring data. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Název v anglickém jazyce

Developing, Compiling and Annotating Corpora for the Persian Language

Popis výsledku anglicky

In this chapter, we briefly overview the general criteria that have to be taken into consideration while developing a corpus. Developing a corpus for the Persian language is challenging. In this chapter, the challenges are discussed and categorized. Then, we discuss the steps that have to be taken to make the developed corpus usable for natural language processing techniques. Furthermore, we explain how the data can be annotated. In the rest of this chapter, the sketch of supervised, semi-supervised, and unsupervised machine learning methods for data annotation is briefly explained. We collect 167 research papers that developed a corpus for their study; then, we categorize them based on the task and the corpus size. The annotated data has to be standardized. We briefly introduce the major standards used for structuring data. © 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Druh

C - Kapitola v odborné knize

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

2025

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

New Frontiers in Corpus Based Studies of Persian: Challenges, Innovations and Applications

ISBN

978-3-031-98989-6

Počet stran výsledku

38

Strana od-do

25-62

Počet stran knihy

263

Název nakladatele

Springer Science+Business Media

Místo vydání

—

Kód UT WoS kapitoly

—