Results 11 to 20 of about 1,880,945 (215)
A comprehensive dataset for Arabic word sense disambiguation [PDF]
Data in BriefThis data paper introduces a comprehensive dataset tailored for word sense disambiguation tasks, explicitly focusing on a hundred polysemous words frequently employed in Modern Standard Arabic.
Sanaa Kaddoura, Reem Nassar
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Leveraging Semantic Diffusion for Polysemous Word Disambiguation in Morphologically Rich Low-resourced Languages [PDF]
Contemporary Research Analysis JournalWord Sense Disambiguation (WSD) remains one of the most challenging problems in Natural Language Processing (NLP), particularly in morphologically rich and low-resource languages.
Halima Aminu +2 more
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Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study [PDF]
PeerJ Computer Science, 2022 Sentiment analysis in research involves the processing and analysis of sentiments from textual data. The sentiment analysis for high resource languages such as English and French has been carried out effectively in the past. However, its applications are
Muhammad Irzam Liaqat +4 more
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Efficient estimation of Hindi WSD with distributed word representation in vector space
Journal of King Saud University: Computer and Information Sciences, 2022 Word Sense Disambiguation (WSD) is significant for improving the accuracy of the interpretation of a Natural language text. Various supervised learning-based models and knowledge-based models have been developed in the literature for WSD of the language ...
Archana Kumari, D.K. Lobiyal
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IEEE Access, 2023 The Arabic text can be translated into English using a variety of machine translation techniques. The translation of Arabic text into English still poses a number of challenges in contemporary Arabic.
Shahab Ahmad Almaaytah +1 more
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Effective Approaches to Neural Query Language Identification
Computational Linguistics, 2022 Query language identification (Q-LID) plays a crucial role in a cross-lingual search engine. There exist two main challenges in Q-LID: (1) insufficient contextual information in queries for disambiguation; and (2) the lack of query-style training ...
Xingzhang Ren +6 more
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Quranic Ontologies: A Scoping Review of the Applications [PDF]
کتابداری و اطلاعرسانی, 2023 Objective: The purpose is to provide a comprehensive view of the applications of Quranic ontologies, through the identification and analysis of research related to the various uses of operational Quranic ontologies, for researchers in the theoretical and
Ali Mirarab +2 more
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Development of the information system for the Kazakh language preprocessing
Cogent Engineering, 2021 The aim of this work is the design and development of linguistic resources and preprocessing tools for the Kazakh language. The media-corpus of the Kazakh language is presented as a linguistic resource, which is available on Al-Farabi Kazakh National ...
Darkhan Akhmed-Zaki +4 more
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Improving the Performance of Vietnamese–Korean Neural Machine Translation with Contextual Embedding
Applied Sciences, 2021 With the recent evolution of deep learning, machine translation (MT) models and systems are being steadily improved. However, research on MT in low-resource languages such as Vietnamese and Korean is still very limited.
Van-Hai Vu +3 more
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Tree-KGQA: An Unsupervised Approach for Question Answering Over Knowledge Graphs
IEEE Access, 2022 Most Knowledge Graph-based Question Answering (KGQA) systems rely on training data to reach their optimal performance. However, acquiring training data for supervised systems is both time-consuming and resource-intensive.
Md Rashad Al Hasan Rony +3 more
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