Research
Natural Language Processing (NLP):
Investigating methods to improve machine understanding of human language, with a focus on Arabic information retrieval and multilingual applications.
Semantic Resources:
Building and enriching resources such as Arabic WordNet to enhance computational understanding of language.
Word Encoding & Vectorization:
Developing novel algorithms for representing words and phrases in vector space models to improve language modeling and retrieval accuracy.
Word Encoding & Vectorization:
Developing novel algorithms for representing words and phrases in vector space models to improve language modeling and retrieval accuracy.
Years of Experience
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Published Research Papers
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Collaborations with Universities
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Students & Professionals Mentored
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“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