Joint word2vec Networks for Bilingual Semantic Representations. Int. J. Comput. Linguistics Appl. 5 (1), 27-42. 2009 IEEE international conference on intelligence and security informatics … M...

We introduce two novel machine-learning models, one focused on transliterating Judeo-Arabic into Arabic, and another aimed at identifying non-Arabic words, predominantly Hebrew and Aramaic. Unlike prior work, our models are based on a bilingual Arabic-Hebrew language model, providing a unique advantage in capturing shared linguistic nuances.

Dr. Kfir Bar co-founded and served as Chief Technology Officer at Comprendi. Kfir was previously the CTO of IntuView which focuses on text analytics applications for military uses and is a renowned scholar in the text analytics field.

Dr. Kfir Bar is the Chief Scientist of our text analytics team. He has spent the past 18 years working in a wide range of natural language processing disciplines, including statistical machine translation, machine learning, ontologies, and language generation.

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Apr 16, 2019 · Natural language processing tools are used to automatically detect disturbances in transcribed speech of schizophrenia inpatients who speak Hebrew. We measure topic mutation over time and show that controls maintain more cohesive speech than inpatients.

Kfir BAR | Cited by 165 | of Tel Aviv University, Tel Aviv (TAU) | Read 27 publications | Contact Kfir BAR