Results 31 to 40 of about 84,282 (334)
Improving word vector model with part-of-speech and dependency grammar information
CAAI Transactions on Intelligence Technology, 2020 Part-of-speech (POS) and dependency grammar (DG) are the basic components of natural language processing. However, current word vector models have not made full use of both POS information and DG information, and hence the models’ performances are ...
Chunhui Deng, Gangming Lai, Huifang Deng
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Colloquia Germanica Stetinensia, 2016 The article is an analysis of Anna Pilarski’s book called „Das Nullsubjekt im Polnischen. Dependenzielle Verbgrammatik und Generative Transformationsgrammatik im Modellvergleich“ [Null-subject in Polish.
Małgorzata Osiewicz-Maternowska
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Preprocessing Greek Papyri for Linguistic Annotation [PDF]
Journal of Data Mining and Digital Humanities, 2017 Greek documentary papyri form an important direct source for Ancient Greek. It has been exploited surprisingly little in Greek linguistics due to a lack of good tools for searching linguistic structures.
Marja Vierros, Erik Henriksson
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A Novel Approach to Conditional Random Field-based Named Entity Recognition using Persian Specific Features [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a ...
L. Jafar Tafreshi, F. Soltanzadeh
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A syntactified direct translation model with linear-time decoding [PDF]
, 2009 Recent syntactic extensions of statistical translation models work with a synchronous context-free or tree-substitution grammar extracted from an automatically parsed parallel corpus.
Hassan, Hany, Sima'an, Khalil, Way, Andy
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Chinese Prosodic Prediction Based on Dependency Information Fusion Feature [PDF]
Jisuanji gongcheng, 2018 Aiming at the weak ability of predicting the prosodic level based on the characteristics of shallow grammar and dependence-based syntactic single feature,this paper proposes an improved Chinese prosodic prediction method.By extracting the dependency ...
LI Yong,WANG Liuyu,WEI Dang
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Journal of Language Modelling, 2016 We compare three different approaches to parsing into syntactic, bi- lexical dependencies for English: a ‘direct’ data-driven dependency parser, a statistical phrase structure parser, and a hybrid, ‘deep’ grammar-driven parser.
Angelina Ivanova +5 more
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Internetikeele automaatne süntaktiline analüüs kitsenduste grammatikaga
Eesti Rakenduslingvistika Ühingu Aastaraamat, 2016 "Syntactic analysis of Estonian netspeak using Constraint Grammar" The paper provides an overview of an attempt to adapt the Estonian Constraint Grammar rule set for netspeak. The rule set has been developed by Kaili Müürisep and Tiina Puolakainen for
Dage Särg
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TwIdw—A Novel Method for Feature Extraction from Unstructured Texts
Applied Sciences, 2023 This research proposes a novel technique for fake news classification using natural language processing (NLP) methods. The proposed technique, TwIdw (Term weight–inverse document weight), is used for feature extraction and is based on TfIdf, with the ...
Kitti Szabó Nagy, Jozef Kapusta
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Treebank-based acquisition of wide-coverage, probabilistic LFG resources: project overview, results and evaluation [PDF]
, 2004 This paper presents an overview of a project to acquire wide-coverage, probabilistic Lexical-Functional Grammar (LFG) resources from treebanks. Our approach is based on an automatic annotation algorithm that annotates “raw” treebank trees with LFG f ...
Burke, Michael +4 more
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