Opinion-mining or sentiment analysis continues to gain interest in industry and academics.
While there has been significant progress in develo** models for sentiment analysis, the …

Although there are several speech synthesis models available for different languages
tailored to specific domain requirements and applications, there is currently no readily …

In this paper, we offer broad insight into the underperformance of Arabic constituency
parsing by analyzing the interplay of linguistic phenomena, annotation choices, and model …

The many differences between Dialectal Arabic and Modern Standard Arabic (MSA) pose a
challenge to the majority of Arabic natural language processing tools, which are designed …

A fundamental challenge for current research on speech science and technology is
understanding and modeling individual variation in spoken language. Individuals have their …

This paper presents a sequence transcription approach for the automatic diacritization of
Arabic text. A recurrent neural network is trained to transcribe undiacritized Arabic text with …

Proceedings of NAACL HLT 2007 Page 1 Proceedings of NAACL HLT 2007, Companion
Volume, pages 53–56, Rochester, NY, April 2007. cO2007 Association for Computational …

In this paper we present a recipe and language resources for training and testing Arabic
speech recognition systems using the KALDI toolkit. We built a prototype broadcast news …

Arabic Morphological Tagging, Diacritization, and Lemmatization Using Lexeme Models and
Feature Ranking Page 1 Proceedings of ACL-08: HLT, Short Papers (Companion Volume) …

Due to the fast pace of life and online communications and the prevalence of English and
the QWERTY keyboard, people tend to forgo using diacritics, make typographical errors …