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ARTEMIS: State of the Art and Future Horizons
- Source :
- Revista de Lenguas para Fines Específicos, Vol 23, Iss 2 (2017)
- Publication Year :
- 2017
- Publisher :
- Universidad de Las Palmas de Gran Canaria, 2017.
-
Abstract
- The syntactic parser ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based System) is a prototype intended to process natural language within the environment of the Functional Grammar Knowledge Base (FunGramKB) (Perinan-Pascual & Arcas-Tunez, 2010). Different from other parsing devices, ARTEMIS is grounded on two functional linguistic models: Role and Reference Grammar (RRG) (Van Valin & La Polla, 1997; Van Valin, 2005) and the Lexical Constructional Model (LCM) (Ruiz de Mendoza & Mairal Uson, 2008). However, certain adjustments have to be made to both models in order to meet the requirements derived from the fact that ARTEMIS follows the paradigm of Unification Grammars, in such a way that to comply with this paradigm, the GDE (Grammar Development Environment) within ARTEMIS needs to integrate two types of constructs: a catalogue of Attribute-Value Matrixes (AVMs) to describe grammatical units, and a set of production rules (grammatical, lexical and constructional) to allow it to produce a feature based grammar. It is the aim of this paper to give an overview of the investigation carried out so far within ARTEMIS in relation to these two aspects. We will do so by revisiting the literature in relation to the adjustments made to the linguistic models, especially to the RRG, and by reviewing the efforts made to describe the units and design the rules necessary for the parsing of simple sentences in English. Our paper will conclude by pointing at prospective research needed for the completion of this project.
- Subjects :
- Interlingua
Unification
Relation (database)
Role and reference grammar
Computer science
media_common.quotation_subject
computer.software_genre
Rule-based machine translation
Role and Reference Grammar
ARTEMIS
FunGramKB
computational grammar
media_common
Natural Language Processing
Parsing
Grammar
lcsh:P101-410
business.industry
General Medicine
language.human_language
lcsh:Language. Linguistic theory. Comparative grammar
language
Artificial intelligence
business
computer
Natural language processing
Natural language
Subjects
Details
- Language :
- German
- ISSN :
- 23408561 and 11331127
- Volume :
- 23
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Revista de Lenguas para Fines Específicos
- Accession number :
- edsair.doi.dedup.....383ccf4e769475a84561eefeec4aa4e0