Results 21 to 30 of about 1,822,137 (242)
Sense Unveiled: Enhancing Urdu Corpus for Nuanced Word Sense Disambiguation
IEEE AccessAmbiguity in word meanings presents a significant challenge in natural language processing, necessitating robust techniques for Word Sense Disambiguation (WSD).
Sarfraz Bibi +2 more
semanticscholar +3 more sources
A comprehensive dataset for Arabic word sense disambiguation. [PDF]
Data 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.
Kaddoura S, Nassar R.
europepmc +2 more sources
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
doaj +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source