Results 121 to 130 of about 1,363 (163)

KuSarcasm: Automated annotation of a sarcasm dataset using hybrid NLP techniques. [PDF]

Data Brief
Aghajan S, Nabi RM.
europepmc   +1 more source

Deep convolutional neural network for isolated Arabic handwritten character recognition: design, evaluation, and comparative study. [PDF]

Sci Rep
Attar ET.
europepmc   +1 more source

Natural language processing to identify documented pain preceding radiation therapy for bone metastases. [PDF]

JNCI Cancer Spectr
Chen JJ, Feng J, Friesner ID, Chang C, Kenny C, Elia MV, Ni L, Feng FY, Rabow MW, Braunstein SE, Boreta LC, Hong JC.   +11 more
europepmc   +1 more source

Pre- Trained Language Models for Mental Health: An Empirical Study on Arabic Q&A Classification. [PDF]

Healthcare (Basel)
Alhuzali H, Alasmari A.
europepmc   +1 more source

Introduction to the special issue on Arabic NLP: Current state and future challenges

Journal of King Saud University - Computer and Information Sciences, 2014
openaire   +2 more sources

Leveraging AI for Analysis of Digital Health Information on Cancer Prevention Among Arab Youth and Adults: Content Analysis. [PDF]

JMIR Infodemiology
Komsany A, Al Zoubi O, Sebaaly L, Harrison G, Soroka O, ElKefi S, Scales D, Phillips E, Pinheiro LC, Ismail I, Chebli P.   +10 more
europepmc   +1 more source

KurdABSA: Kurdish aspect-based sentiment analysis dataset curation using few-shot learning. [PDF]

Data Brief
San Ahmed RAM, Saeed SA.
europepmc   +1 more source

A large-scale benchmark dataset for Urdu script optical character recognition with systematic augmentation. [PDF]

Data Brief
Yasir F, Kazmi M, Qazi SA.
europepmc   +1 more source

Data-Driven Insights in Healthcare. [PDF]

Healthcare (Basel)
Prybutok VR, Prybutok GL.
europepmc   +1 more source

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Use of NLP Tools in CALL System for Arabic

International Journal of Computer Processing of Languages, 2011
This article focuses on the development of Natural Language Processing (NLP) tools for Computer Assisted Language Learning (CALL). First, we have developed some NLP tools: a labelled dictionary of Arabic (as complete as possible), a generator for morphological derivatives, a Conjugator and a morphological analyzer for Arabic.
Mohsen Maraoui
exaly   +2 more sources