An efficient, font independent word and character segmentation algorithm for printed Arabic text
Sign Up to like & getrecommendations! Published in 2019 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2019.08.013
Abstract: Abstract Characters segmentation is a necessity and the most critical stage in Arabic OCR system. It has attracted the interest of a wide range of researchers. However, the nature of the Arabic cursive script poses… read more here.
Keywords: word; segmentation algorithm; segmentation; word character ... See more keywords
Reader, Word, and Character Attributes Contributing to Chinese Children’s Concept of Word
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DOI: 10.1080/10888438.2017.1414220
Abstract: ABSTRACT Concept of word—the awareness of how words differ from nonwords or other linguistic properties—is important to learning to read Chinese because words in Chinese texts are not separated by space, and most characters can… read more here.
Keywords: word; reader; concept word; character attributes ... See more keywords
Revealing the Next Word and Character in Arabic: An Effective Blend of Long Short-Term Memory Networks and ARABERT
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DOI: 10.3390/app142210498
Abstract: Arabic raw audio datasets were initially gathered to produce a corresponding signal spectrum, which was further used to extract the Mel-Frequency Cepstral Coefficients (MFCCs). The pronunciation dictionary, language model, and acoustic model were further derived… read more here.
Keywords: word; word character; language; model ... See more keywords