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Full-Text Articles in Computational Linguistics
Computational Approaches To Linguistic Challenges In Arabic Speech Recognition, Enas Albasiri
Computational Approaches To Linguistic Challenges In Arabic Speech Recognition, Enas Albasiri
Dissertations, Theses, and Capstone Projects
This dissertation aims to document the linguistic features of Arabic that pose challenges to speech and language technologies and advance these technologies by developing state-of-the-art computational tools focusing on automatic speech recognition (ASR), text normalization (TN), and corpus development. TN converts expressions such as numbers, dates, and times—named semiotic classes—from their written to their spoken domain, such as converting ‘$84.00’ to ‘eighty-four dollars’, while inverse text normalization (ITN) converts verbalized text to its written form. This conversion is an essential preprocessing step for text-to-speech (TTS), and post-processing step for ASR. Arabic presents a challenge for TN and ITN because one …