Publications
Towards the Enrichment of Arabic WordNet with Big Corpora
This paper presents a method to enrich Arabic WordNet with semantic clusters extracted from a large general corpus, addressing the scarcity of digital linguistic resources for Arabic.
Type: Conference Paper
Published: January 2017
Survey and Classification of Methods for Building a Semantic Annotation"
This paper surveys various methods for building or enriching Arabic semantic resources, aiming to establish a reliable approach for Arabic semantic annotation.
Type: Article
Published: December 2017
Methods for Word Encoding: A Survey
This survey revises most word encoding methods and models, from n-gram sets to vector space models, highlighting their applications in natural language processing and information retrieval
Type: Article
Published: August 2017
Methods for Word Encoding: A Survey
This survey revises most word encoding methods and models, from n-gram sets to vector space models, highlighting their applications in natural language processing and information retrieval
Type: Article
Published: August 2017
“Language is the bridge between people and machines. By understanding it, we don’t just build smarter systems, we create smarter connections.”
– Dr. George Lebbos