Results 31 to 40 of about 86,272 (333)
Categorial dependency grammars
Theoretical Computer Science, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dekhtyar, Michael +2 more
openaire +2 more sources
Wide-coverage deep statistical parsing using automatic dependency structure annotation [PDF]
, 2008 A number of researchers (Lin 1995; Carroll, Briscoe, and Sanfilippo 1998; Carroll et al. 2002; Clark and Hockenmaier 2002; King et al. 2003; Preiss 2003; Kaplan et al. 2004;Miyao and Tsujii 2004) have convincingly argued for the use of dependency (rather
Abney Stephen +10 more
core +1 more source
Feature Engineering in Persian Dependency Parser [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar.
S. Lazemi, H. Ebrahimpour-komleh
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj
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
doaj +1 more source
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
core +1 more source