Code Issues Pull requests Implementation of many Arabic NLP and CV projects. Providing real time experience using many interfaces like web, command line and notebooks. demo colab arabic arabic-nlp Updated Mar 1, 2024 JavaScript ARBML / klaam Star 372 Code Issues Pull requests Arabic speech...
The Perceptual Recognition of Stop Consonants in CV vs Word Context in ArabicZiyad Kasim
Implementation of many Arabic NLP and CV projects. Providing real time experience using many interfaces like web, command line and notebooks. - ARBML/ARBML
Financial statements, Promotional and newsletter articles, Web sites, CV and cover letters, Project management, Quality procedures, Financial reports, Business correspondence, Market research, Advertisement, Press releases, etc.. SCIENCE: Physics, Chemistry, Geography, Mathematics, Biology, Medical specialtie...
In this paper, an automatic Arabic speech recognition system was established using MATLAB and 24 Arabic words Consonant-Vowel Consonant-Vowel Consonant-Vowel (CVCVCV) was recorded from 19 Arabic native speakers, each speaker uttering the same word 3 times (total 1368 words). In order to test ...
My first request is "I need help improve my CV.” Act as a Life Coach Contributed by: @devisasari I want you to act as a life coach. I will provide some details about my current situation and goals, and it will be your job to come up with strategies that can help me make better...
non-word repetition; NWR; vocabulary; bilingualism; preschool children; Arabic; Swedish; developmental language disorder; DLD 1. Introduction This study investigates non-word repetition and vocabulary in a large group of bilingual Arabic-Swedish-speaking children with typical language development, compared...
The laboratory teams of the plant-based foods and NMR departments at CVUA Karlsruhe and of the beverages department at CVUA Stuttgart are thanked for excellent technical assistance. The authors would like to acknowledge the assistance of ChatGPT (version GPT-4o), developed by OpenAI, San Francis...
To estimate the performance of machine learning algorithms, we applied 5-fold cross-validation (CV). The data sample is split into five parts, such that four parts (80%) are used for training, while the remaining part (20%) is used for testing. This process is repeated five times, thus...
Cross-validation (CV) is a statistical method used to estimate the accuracy of machine learning models. Once the model is trained, we cannot be certain of how well it will work on data that have not been encountered before. Assurance is needed regarding the accuracy of the prediction ...