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24 results for “Corpus Analysis”
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Research ArticleOpen accessEvery word in the titleCorpus-Based Analysis on Cross-Domain Experiments in Classification-and-Ranking GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: Overgeneration-and-ranking architecture works well in written language where sentence is the basic unit. However, in spoken language where utterance is the basic unit, the disadvantage becomes critical as spoken language also render intentions, hence short strings may be of equivalent impact. Approach: In classification-and-ranking, response was deliberately chosen from dialogue corpus rather than wholly generated, such that it … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,099 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStatistical Part-of-Speech Tagger for Traditional Arabic TextsYahya O. Mohamed ElhadjProblem statement: This study presented the development of an Arabic part-of-speech tagger that can be used for analyzing and annotating traditional Arabic texts, especially the Quran text. Approach: It is a part of a project related to the computerization of the Holy Quran. One of the main objectives in this project was to build a textual corpus of the Holy … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,028 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWhy Construction Grammar Catches the Worm and Corpus Data can Drive you Crazy: Accounting for Idiomatic and Non-Idiomatic IdiomaticityThomas HerbstThis article outlines why the treatment of idiomatic elements in language in terms of constructions can be considered a real step forward in the understanding of the character of language. It is argued that construction grammar provides a theoretical basis for accommodating insights into the phraseological character of language that were gained in a number of fields such as corpus … …Journal of Social Sciences, Vol. 11, Issue 3 · 11 Sep 2015 · 8,794 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParsing Arabic Texts Using Rhetorical Structure TheoryH. I. Mathkour, A. A. Touir, W. A. Al-SaneaProblem Statement: Processing texts based on rhetorical structure theory has shown interesting results. Rhetorical Structure Theory (RST) improves the ability of extracting the semantic behind the processed text. Different applications such as information retrieval, text summarization, and text generation have proved to give better result using RST. The applicability of RST to process and understand texts has been studied in … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 7,393 accessesView PDFCite
Research ArticleOpen accessIn the abstractKSWN (Kannada SentiWordNet): Developing a Sentiment Lexicon for Kannada using Translation and Word Embedding TechniquesRashmi Kariganuru Bheemarao, Hassan Sadashiva Guruprasad, Shambhavi Bangalore RaviOpinion Mining has gained significant attention in recent years, especially due to the enormous growth of online content generation. However, finding the opinions expressed in comments and reviews is highly challenging in Indian regional languages due to the lack of annotated datasets. Opinion mining has predominantly been conducted in English, with recent efforts extending to Hindi and other languages. A … …Journal of Computer Science, Vol. 21, Issue 6 · 4 Jul 2025 · 3,386 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Machine Translation for Domain Specific Low-Resource Nepali-English Language Pairs: The Impact of Tokenization on Statistical and Neural TechniquesAmit Kumar Roy, Bipul Syam PurkayasthaIn the modern era, the field of Machine Translation (MT) has seen a significant shift towards Neural Machine Translation (NMT) techniques, which have surpassed traditional Statistical Machine Translation (SMT) models in terms of the quality of translation. Despite this, the efficacy of these techniques may differ based on the language combination in consideration. While SMT is somewhat more flexible in … …Journal of Computer Science, Vol. 21, Issue 12 · 24 Jan 2026 · 1,926 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,778 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning ModelsNyalalani Smarts, Rajalakshm Selvaraj, Venumadhav KuthadiThis research paper proposes a conceptual framework and optimization algorithm for pruning techniques in deep learning models, its focus is on key challenges such as model size, computational efficiency, inference speed and sustainable technology development. The aim of the framework is to transition from large neural networks to sparse, efficient models, indicating the benefits of pruning in improving model scalability … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,276 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwitter Sentiment Analysis for Reviewing Tourist Destinations in Saudi Arabia using Apache Spark and Machine Learning AlgorithmsWala Awadh Alasmari, Hoda Ahmed AbdelhafezThe appearance of big data has created new challenges for data analysis teams especially dealing with unstructured data in text form. Many applications increasingly include a large amount of this type of data. Example of such data is data collected from Twitter. Adequate use of Machine Learning (ML), big data tools and social media platforms can solve several problems. The … …Journal of Computer Science, Vol. 18, Issue 3 · 7 Apr 2022 · 7,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Learning Mechanism to Improve Skills Acquisition for Autistic Children in MauritaniaCheikhne Mohamed Mahmoud Seyidi, Cheikhane Seyed, Mohamed El Moustapha El Arby et al.The learning of autistic children is an issue for care and treatment centers for children with autism spectrum disorder, however many studies seek to find learning mechanisms and models in order to facilitate their social integration. The aim of this study is to propose a learning mechanism based on the analysis and annotation of a corpus video filmed during the … …Journal of Computer Science, Vol. 19, Issue 9 · 23 Aug 2023 · 5,622 accessesView PDFCite