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Dependency Grammar

open access: yesAnnual Review of Linguistics, 2019
Dependency grammar is a descriptive and theoretical tradition in linguistics that can be traced back to antiquity. It has long been influential in the European linguistics tradition and has more recently become a mainstream approach to representing syntactic and semantic structure in natural language processing.
de Marneffe, Marie-Catherine   +1 more
openaire   +2 more sources

The Identification of Noun Modifiersʼ Type and Number in Persian Children’Writing (10-12). [PDF]

open access: yes̒Ilm-i Zabān, 2022
The purpose to do the present research is the identification of the type and the number of noun modifiers in Persian students’ texts (students (10-12) in grades four, five and six) in which the number 9 area of Tehran was selected in purposive sampling ...
Hallimeh Ebneabbassi   +1 more
doaj   +1 more source

A parser system for extensible dependency grammar [PDF]

open access: yes, 2003
This paper introduces a parser system for the meta grammar formalism of Extensible Dependency Grammar (XDG). XDG is a generalisation of Topological Dependency Grammar (TDG) (Duchier-Debusmann01). The XDG parser system comprises a constraint-based parser
Debusmann, Ralph
core   +3 more sources

Augmented Dependency Grammar [PDF]

open access: yesProceedings of the second conference on European chapter of the Association for Computational Linguistics -, 1985
This paper describes some operational aspects of a language comprehension model which unifies the linguistic theory and the semantic theory in respect to operations. The computational model, called Augmented Dependency Grammar (ADG), formulates not only the linguistic dependency structure of sentences but also the semantic dependency structure using ...
Kazunori Muraki   +2 more
openaire   +1 more source

DG-based SPO tuple recognition using self-attention M-Bi-LSTM

open access: yesETRI Journal, 2022
This study proposes a dependency grammar-based self-attention multilayered bidirectional long short-term memory (DG-M-Bi-LSTM) model for subject?predicate?object (SPO) tuple recognition from natural language (NL) sentences. To add recent knowledge to the
Joon-young Jung
doaj   +1 more source

Learning the Morphological and Syntactic Grammars for Named Entity Recognition

open access: yesInformation, 2022
In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning.
Mengtao Sun   +4 more
doaj   +1 more source

A syntactic component for Vietnamese language processing

open access: yesJournal of Language Modelling, 2015
This paper presents the development of a syntactic component for the Vietnamese language. We first discuss the construction of a lexicalized tree-adjoining grammar using an automatic extraction approach. We then present the construction and evaluation of
Phuong Le-Hong   +2 more
doaj   +1 more source

Improving Persian Dependency-Based Parser Using Deep Learning [PDF]

open access: yesComputer and Knowledge Engineering, 2022
One of the most important problems in computational linguistics is the grammar and, consequently, syntactic structures and structural parsing. The structural parser tries to analyze the relationships between words and to extract the syntactic structure ...
soghra lazemi   +2 more
doaj   +1 more source

Multi-dimensional dependency grammar as multigraph description [PDF]

open access: yes, 2006
Extensible Dependency Grammar (XDG) is new, modular grammar formalism for natural language. An XDG analysis is a multi-dimensional dependency graph, where each dimension represents a different aspect of natural language, e.g.
Debusmann, Ralph, Smolka, Gert
core   +3 more sources

Coreference Resolution for Improving Performance Measures of Classification Tasks

open access: yesApplied Sciences, 2023
There are several possibilities to improve classification in natural language processing tasks. In this article, we focused on the issue of coreference resolution that was applied to a manually annotated dataset of true and fake news.
Kirsten Šteflovič, Jozef Kapusta
doaj   +1 more source

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