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The Graduate School and University Center of The City University of New York

Expanding the Corpus of Vocalized Hebrew Text: Compiling an Unvocalized Text Corpus and Building an Online Interface for Vocalization Annotation

Abstract

dc:description.abstract

<p>Written modern Hebrew presents a unique challenge for training computational models for language processing because modern Hebrew text often lacks vocalization. The lack of available vocalized Hebrew data can lead to ambiguity in training these models and generally hinders work on natural language processing problems. The goal of this project is to contribute to the collection of vocalized Hebrew text by collecting and preprocessing a large corpus of unvocalized Hebrew text and building an online annotation tool. The annotation tool allows people to upload unvocalized Hebrew text, to annotate by adding Hebrew vocalization, and to download comma-separated values files of vocalized text. This project seeks to enhance the space both by collecting vocalized Hebrew text and by building the vocalization annotation interface—allowing for the continuous growth of a vocalized Hebrew text corpus.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Arts
Level thesis:degree_level
Master
Discipline thesis:degree_discipline
Linguistics
Grantor
The Graduate School and University Center of The City University of New York
Year dc:date.available
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bloch, Rachel Shanblatt
Advisor dc:contributor.advisor
  • Kyle Gorman

Subjects

dc:subject × 9

Identifiers

dc:identifier.*
Repository record dc:identifier
https://academicworks.cuny.edu/gc_etds/5891
OAI identifier oai:identifier
oai:academicworks.cuny.edu:gc_etds-6975

Chain of custody

source
Harvested from
City University of New York - Graduate Center
Base URL
academicworks.cuny.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Bloch, Rachel Shanblatt. Expanding the Corpus of Vocalized Hebrew Text: Compiling an Unvocalized Text Corpus and Building an Online Interface for Vocalization Annotation. Master thesis, The Graduate School and University Center of The City University of New York, 2024. https://academicworks.cuny.edu/gc_etds/5891