Results 21 to 30 of about 20,348 (235)

Exploiting Semantic Role Resources for Preposition Disambiguation [PDF]

open access: yesComputational 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
openaire   +1 more source

Challenges in Rendering Arabic Text to English Using Machine Translation: A Systematic Literature Review

open access: yesIEEE 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

open access: yesComputational 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

A Literature Survey on Word Sense Disambiguation for the Hindi Language

open access: yesInformation, 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
doaj   +1 more source

Development of the information system for the Kazakh language preprocessing

open access: yesCogent 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

Combining dependency and constituent-based resources for structure disambiguation [PDF]

open access: yes2001 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.
S.N. Galicia-Haro   +2 more
openaire   +1 more source

Quranic Ontologies: A Scoping Review of the Applications [PDF]

open access: yesکتابداری 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

Improving the Performance of Vietnamese–Korean Neural Machine Translation with Contextual Embedding

open access: yesApplied 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

Word Sense Disambiguation Using Heterogeneous Language Resources [PDF]

open access: yes, 2005
This paper proposes a robust method for word sense disambiguation (WSD) of Japanese. Four classifiers were combined in order to improve recall and applicability: one used example sentences in a machine readable dictionary (MRD), one used grammatical information in an MRD, and two classifiers were obtained by supervised learning from a sense-tagged ...
Kiyoaki Shirai, Takayuki Tamagaki
openaire   +1 more source

Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation

open access: yesJournal of Integrative Bioinformatics, 2017
Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems.
Antunes Rui, Matos Sérgio
doaj   +1 more source

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