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MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media
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In: Applied Sciences; Volume 12; Issue 8; Pages: 3806 (2022)
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| 3 |
Knowledge and Attitudes of Medical Students toward COVID-19 Vaccine in Saudi Arabia
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In: Vaccines; Volume 10; Issue 4; Pages: 541 (2022)
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Glottolog 4.4 Resources for Saudi Arabian Sign Language
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: Max Planck Institute for Evolutionary Anthropology, 2021
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Knowledge and Perception of Registered Nurses Regarding the Scope of Practice of Speech-Language Pathologists
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 19 (2021)
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A Comparative Study of Arabic Part of Speech Taggers Using Literary Text Samples from Saudi Novels
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In: Information; Volume 12; Issue 12; Pages: 523 (2021)
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Abstract:
Part of Speech (POS) tagging is one of the most common techniques used in natural language processing (NLP) applications and corpus linguistics. Various POS tagging tools have been developed for Arabic. These taggers differ in several aspects, such as in their modeling techniques, tag sets and training and testing data. In this paper we conduct a comparative study of five Arabic POS taggers, namely: Stanford Arabic, CAMeL Tools, Farasa, MADAMIRA and Arabic Linguistic Pipeline (ALP) which examine their performance using text samples from Saudi novels. The testing data has been extracted from different novels that represent different types of narrations. The main result we have obtained indicates that the ALP tagger performs better than others in this particular case, and that Adjective is the most frequent mistagged POS type as compared to Noun and Verb.
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Keyword:
Arabic tagger; Part of Speech; performance evaluation; Saudi novel
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URL: https://doi.org/10.3390/info12120523
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| 9 |
Social and personal engagement and development during study abroad: experiential perspectives from Saudi language learners
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The association of second language learning motivation and target-like article production in English-major female Saudi students: a sociolinguistic approach
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| 11 |
Saudi Mothers' Experiences Maintaining Their Young Children's Arabic Language and Islamic-Saudi Identity
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| 13 |
A taxonomy of antonymy in Arabic: Egyptian and Saudi proverbs in comparison
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In: Open Linguistics, Vol 7, Iss 1, Pp 200-222 (2021) (2021)
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| 14 |
The Self-perceptions of NNESTs in Saudi Arabian Public Schools Regarding Their Teaching Abilities and Their Views About English Language-in-education Policy
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| 15 |
Examining a French Program In Saudi Arabia for Evidence of CLIL Practices ...
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| 16 |
Sehaa: A Big Data Analytics Tool for Healthcare Symptoms and Diseases Detection Using Twitter, Apache Spark, and Machine Learning
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In: Applied Sciences ; Volume 10 ; Issue 4 (2020)
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| 17 |
Analysis of the relationship between Saudi twitter posts and the Saudi stock market
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| 18 |
Identifying Mubasher software products through sentiment analysis of Arabic tweets
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| 19 |
Integrating computer-assisted language learning in Saudi schools: a change model
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| 20 |
An investigation of the use of compliments by Saudi Arabian students
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