Skip to main navigation
Skip to search
Skip to main content
Ben-Gurion University Research Portal Home
Help & FAQ
Home
Profiles
Research output
Research units
Prizes
Press/Media
Student theses
Activities
Research Labs / Equipment
Datasets
Projects
Search by expertise, name or affiliation
An HMM Approach to Vowel Restoration in Arabic and Hebrew
Ya'akov Gal
Research output
:
Contribution to journal
›
Conference article
›
peer-review
58
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'An HMM Approach to Vowel Restoration in Arabic and Hebrew'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Hebrew
100%
Vowels
100%
Semitic Languages
75%
Success Rate
50%
Publicly Available
25%
Hidden Markov Model
25%
Morphological Analysis
25%
Natural Language Processing
25%
Quran
25%
Specific Knowledge
25%
Lexicon
25%
Reading Text
25%
Bible
25%
Native Speaker
25%
Language Specificity
25%
Word-based
25%
Phonetics
25%
Prose
25%
Word-level
25%
Parsed Corpus
25%
Vowel Pattern
25%
Arts and Humanities
Hebrew
100%
Semitic Languages
75%
Corpus
50%
Koran
25%
Technique
25%
Bible
25%
Natural Language Processing
25%
Native Speaker
25%
Morphological Analysis
25%
phonetic values
25%
Social Sciences
Hebrew
100%
Semitic Languages
75%
Familiarity
25%
Natural Language Processing
25%
Morphological Analysis
25%
Native Speaker
25%
Individual Languages
25%
Hidden Markov Model
25%
Computer Science
Natural Language Processing
100%
Language Specific
100%
Morphological Analysis
100%
Psychology
Familiarity
100%
Hidden Markov Model
100%