Parsing adverbial complex sentences in ASD-STE100 within ARTEMIS

Díaz, María Auxiliadora Martín

doi:10.5209/cjes.61076

Complut. j. Engl. stud.

2019

DOI: 10.5209/cjes.61076

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Parsing adverbial complex sentences in ASD-STE100 within ARTEMIS

María Auxiliadora Martín Díaz¹

Abstract: One of the main objectives of Natural Language Processing is the simulation of natural language understanding. Within the applications designed for this purpose today, ARTEMIS follows

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2022

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Cited by 2 publications

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“…Many adverbial subordinate clauses are also introduced by CLMs like the English subordinators because, if or although (seeMartín-Díaz, 2019), but they will not be the object of study in this paper.…”

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ARTEMIS: parsing non-peripheral complex sentences in ASD-STE100

González-Orta¹,

Martín-Díaz²

2022

Onomázein

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The simulation of natural language understanding is one of the main objectives of natural language processing (NLP). Within the different applications designed for this purpose, the ARTEMIS prototype follows the paradigm of unification grammars, and unlike other trending computational resources, it is theoretically grounded in Role and Reference Grammar (RRG). The syntax-to-semantics linking algorithm proposed in this functional grammar lies at the basis of a parsing process that starts with a natural language sentence, extracts its morphosyntactic features and provides a representation of these in terms of the so-called layered structure of the clause (LSC). The Grammar Development Environment (GDE) in ARTEMIS is a major component where feature- based production rules (syntactic, lexical and constructional) are stored and ready to allow the generation of the enhanced layered structure of the clause of natural language expressions. Syntactic rules that account for phrasal constituents and simple sentences have already been described, but it is now turn to focus on the study of non-peripheral complex sentences. In an attempt to validate these syntactic rules and to avoid some of the common problems that may arise in parsing applications, our research will concentrate on the analysis of RRG’s juncture-nexus combinations as found in a controlled natural language (CNL) such as ASD-STE100 (Aerospace and Defence Simplified Technical English).

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“…The other subtype of clausal subordination, that of peripheral or adverbial clauses, has already been treated inMartín-Díaz (2019).…”

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ARTEMIS: parsing non-peripheral complex sentences in ASD-STE100

González-Orta¹,

Martín-Díaz²

2022

Onomázein

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Characterizing aviation maintenance manuals written in the controlled language ASD-STE100 as a genre: a corpus analysis

Galán

2022

Complut. j. Engl. stud.

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The texts associated with aircraft maintenance are fundamental in the maintenance process and in aircraft security. Aviation maintenance manuals ‒the core of this documentation‒ have to comply with regulations concerning content, format and expression. To ensure uniformity, manuals abide by a specification which regulates writing practices accommodating them to the controlled natural language ASD-STE100, a simplified version of English used as a standard in the industry. Through the qualitative analysis of a corpus of maintenance texts, this paper characterizes aviation instructions manuals as a genre by (i) illustrating the most relevant restrictions imposed by the specification and their implementation at the surface levels glossed in the specification and (ii) providing a description of the rhetorical macrostructure of instructional texts. The analysis reveals discrepancies between actual use and the rules which concern lexical, phrasal or sentential units; compliance with the rhetorical macrostructure seems to be the norm, however. As an explanation, it is hypothesized that deviations occur in areas where the specification clashes with standard technical writing practice, supporting thus the view that genres are mediated by social practices. Although further quantitative analysis is pending, this description of the use of ASD-STE100 might prove of interest both to scholars and practitioners.

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Parsing adverbial complex sentences in ASD-STE100 within ARTEMIS

Abstract: One of the main objectives of Natural Language Processing is the simulation of natural language understanding. Within the applications designed for this purpose today, ARTEMIS follows

Cited by 2 publications

References 11 publications

ARTEMIS: parsing non-peripheral complex sentences in ASD-STE100

ARTEMIS: parsing non-peripheral complex sentences in ASD-STE100

Characterizing aviation maintenance manuals written in the controlled language ASD-STE100 as a genre: a corpus analysis

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