Results 21 to 30 of about 2,664 (259)
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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Exploiting a lexical resource for discourse connective disambiguation in German [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 In this paper we focus on connective identification and sense classification for explicit discourse relations in German, as two individual sub-tasks of the overarching Shallow Discourse Parsing task. We successively augment a purely-empirical approach based on contextualised embeddings with linguistic knowledge encoded in a connective lexicon.
Peter Bourgonje, Manfred Stede
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Exploiting Semantic Role Resources for Preposition Disambiguation [PDF]
Computational Linguistics, 2009 This article describes how semantic role resources can be exploited for preposition disambiguation. The main resources include the semantic role annotations provided by the Penn Treebank and FrameNet tagged corpora. The resources also include the assertions contained in the Factotum knowledge base, as well as information from Cyc and Conceptual Graphs.
Tom O'Hara, Janyce Wiebe
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Combining dependency and constituent-based resources for structure disambiguation [PDF]
2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236), 2002 Unrestricted text analysis requires an accurate syntactic analysis but structural ambiguity is one of the most difficult problems to resolve. Researchers have tried different approaches to obtain the correct syntactic structure from analyzed sentences but no successful results have been obtained.
Sofía N. Galicia-Haro +2 more
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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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A Literature Survey on Word Sense Disambiguation for the Hindi Language
Information, 2023 Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar +5 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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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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