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47 articles for “Corpus-based”
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Research ArticleOpen accessPhrase 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 · 7,097 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCorpus Design for Malay Corpus-based Speech Synthesis SystemTian-Swee Tan, Sh-HussainProblem statement: Speech corpus is one of the major components in corpus-based synthesis. The quality and coverage in speech corpus will affect the quality of synthesis speech sound. Approach: This study proposes a corpus design for Malay corpus-based speech synthesis system. This includes the study of design criteria in corpus-based speech synthesis, Malay corpus based database design and the concatenation … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 8,302 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSequential Patterns: A new Corpus-Based Method to Inform the Teaching of Language for Specific PurposesDominique Legallois, Anne PrunetIn this study, we present an original study that aims to show how pedagogically important lexico-grammatical patterns, which are typical of certain genres, can be identified and taught at every educational level, in particular for learners of French for Specific Purposes. These patterns, called Sequential Patterns, constitute a more powerful paradigm than lexical bundles or “P-frames” because they combine different … …Journal of Social Sciences, Vol. 11, Issue 3 · 13 Aug 2015 · 8,174 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementation of Phonetic Context Variable Length Unit Selection Module for Malay Text to SpeechTian-Swee Tan, Sh-HussainProblem statement: The main problem with current Malay Text-To-Speech (MTTS) synthesis system is the poor quality of the generated speech sound due to the inability of traditional TTS system to provide multiple choices of unit for generating more accurate synthesized speech. Approach: This study proposes a phonetic context variable length unit selection MTTS system that is capable of providing more … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 6,775 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Language Models (LLMs) in the Interpretation of Tuberculosis Concepts: Design of a Virtual Assistant for Clinical Support and Patient EducationMauricio Acevedo-Carrillo, Shirley Fiorella Simbron EspejoTuberculosis (TB) remains a global public health challenge, where access to accurate and up-to-date information is crucial for professionals and patients. This research comparatively evaluated the performance of five language models (LLMs) Med-PaLM 2, GPT-4, MEDITRON-70B, Me-LLaMA, and Clinical Camel in the TB domain and implemented a mobile virtual assistant as a proof-of-concept based on the best-performing model. Clinical accuracy … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 491 accessesView PDFCite
Research ArticleOpen accessIn the abstractContext Tamil Llama-QA: A Question and Answering Framework for Semantic Information Retrieval Using Tamil Large Language ModelJeevit Davidson S., M. MuraliThe Question Answering System (QA) is essential for effectively retrieving and providing relevant information, and its performance is heavily reliant on the efficiency of information retrieval mechanisms. As the volume of information within the corpus continues to grow, the complexity of generating accurate and pertinent answers also increases substantially. This challenge is particularly significant when designing QA systems for regional … …Journal of Computer Science, Vol. 22, Issue 10 · 7 Oct 2026 · 442 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Pipelines for Intelligent Human Resources Text Classification: LLMs, RAG, and Generative AISoumia Chafi, Mustapha Kabil, Abdessamad KamoussThe digital transformation of Human Resources Information Systems (HRIS) requires advanced approaches to process unstructured textual data originating from Curriculum Vitae (CVs), cover letters, and job postings. Traditional text classification methods exhibit limitations when faced with current needs for contextual understanding and fine-grained skill detection. This paper proposes a hybrid pipeline combining advanced text classification, contrastive learning (SimCSE, Contriever), Retrieval-Augmented … …Journal of Computer Science, Vol. 22, Issue 4 · 22 Apr 2026 · 1,509 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 · 1,920 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 · 3,377 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 · 5,268 accessesView PDFCite