Tambov
All-Russian academic journal
“Issues of Cognitive Linguistics”

ADAPTING ARTEMIS TO PARSING A CONTROLLED LANGUAGE

ADAPTING ARTEMIS TO PARSING A CONTROLLED LANGUAGE


Author:  M.C. Fumero-Pérez

Affiliation:  Universidad de La Laguna, Instituto de Lingüística Andrés Bello

Abstract:  ARTEMIS (Automatically Representing Text Meaning via an Interlingua-based System), developed within the environment of the Functional Grammar Knowledge Base (FunGramKB), is a parser designed to process natural language, arriving at the corresponding syntactic and semantic representation. Periñán Pascual and Arcas Túnez [2013, 2014] describe ARTEMIS as a bottom-up chart parser with top-down prediction for processing natural language fragments.
Although we may find a number of works dealing with the development of ARTEMIS, the testing of the parser is yet to be done. This paper aims at describing the process followed to adapt the functioning of the syntactic parser ARTEMIS to the parsing of a controlled language (CL), ASD-STE 100 (the Aerospace and Defence Industries Association of Europe Simplified Technical English). The simplification of the vocabulary, syntax and style which characterize this language makes it the perfect candidate for ARTEMIS to use it as a preliminary testing platform.
We deal with the changes that had to be implemented in the syntactic and lexical rules designed for Natural English, to adapt them to the parsing of ASD-STE 100 [2017] and conclude that, in general, there is a simplification of the rules but, at the phrasal level, structures become quite complex.

Keywords:  Functional Grammar Knowledge Base (FunGramKB), ARTEMIS, Natural Language Processing (NLP),
Controlled Language, Simplified English, ASD-STE100.

References:  ASD-STE Simplified Technical English Specification ASD-STE 100. International specification for the preparation of technical documentation in a controlled language. Issue 7, January 2017.
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For citation:  Fumero-Pérez, M. C. (2018). Adapting ARTEMIS to Parsing a Controlled Language. Voprosy Kognitivnoy Lingvistiki, 3, 71-82.

Pages:  71-82

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