Morphosyntax and semantics in the NooJ italian dictionary of simple words

The main topic of this paper is to describe how to transform effectively the “lexical matter” of a language (not only Italian) into a formal and taxonomic morphosyntactic classification of the simple words stored and tagged inside NooJ electronic dictionaries. The ultimate goal is to build electroni...

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Autor principal: Monteleone, Mario
Formato: Artículo revista
Lenguaje:Inglés
Publicado: Universidad Nacional de Rosario 2022
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Acceso en línea:https://aprendoconnooj.unr.edu.ar/index.php/revista/article/view/9
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spelling I15-R219-article-92024-06-19T15:23:17Z Morphosyntax and semantics in the NooJ italian dictionary of simple words Morfosintaxis y semántica en el diccionario NooJ italiano de palabras simples Monteleone, Mario NooJ gramática de NooJ morfosintaxis del italiano semántica formal Léxico-Gramática NooJ NooJ Grammars Italian morphosyntax Formal Semantics Lexicon-Grammar The main topic of this paper is to describe how to transform effectively the “lexical matter” of a language (not only Italian) into a formal and taxonomic morphosyntactic classification of the simple words stored and tagged inside NooJ electronic dictionaries. The ultimate goal is to build electronic dictionaries for NooJ that can be used effectively in Natural Language Processing (NLP) and Automatic Textual Analysis (ATA). To achieve this task, we will start from the following assumption: nouns inflection codes may prove useful not only to describe morphological behaviours and features, but also to “predict” syntactic combinations inside sentences. This means that inside NooJ finite-state automata (FSA) and transducers (FST), nouns inflection codes can account for Lexicon-Grammar (LG) co-occurrence and selection restriction rules, thus also providing for several aspects of formal semantics (FS). The method we intend to outline here can therefore become a descriptive and applicative standard, reusable for all those languages in which word inflection has a value not only morphological (as for gender, number and possibly case) but also syntactic. As is known, such a formal descriptive approach is absent in paper dictionaries, in which there is a tendency to “flatten” the morphosyntactic description of words in favour of a list of words which uses rely heavily on the linguistic competence of readers and speakers. Este artículo tiene como tema central describir cómo transformar efectivamente la “materia léxica” de una lengua (no solo el italiano) en una clasificación morfosintáctica formal y taxonómica de las palabras simples almacenadas y etiquetadas en los diccionarios electrónicos de NooJ. El objetivo final es construir diccionarios electrónicos en NooJ que se puedan usar de manera efectiva en el procesamiento de lenguaje natural (PLN) y el análisis textual automático (ATA). Para llevar a cabo esta tarea, partiremos del supuesto de que los códigos de flexión nominal pueden resultar útiles no solo para describir comportamientos y características morfológicas, sino también para “predecir” combinaciones sintácticas dentro de las oraciones. Esto significa que, dentro de los autómatas de estado finito (FSA) y los transductores de estado finito (FST) de NooJ, los códigos de flexión nominal pueden dar cuenta de las reglas de restricción, selección y coocurrencia de Léxico-Gramática (LG), proporcionando así varios aspectos de la semántica formal (FS). Creemos que el método que pretendemos esbozar aquí puede convertirse en un estándar descriptivo y aplicativo, reutilizable para todas aquellas lenguas en las que la flexión de las palabras tiene un valor no sólo morfológico (para género, número y posiblemente caso) sino también sintáctico. Este enfoque descriptivo formal generalmente está ausente en los diccionarios en papel, en los que existe una tendencia a “aplanar” la descripción morfosintáctica de las palabras y presentar una lista de palabras basada, en gran medida, en la competencia lingüística de lectores y hablantes. Universidad Nacional de Rosario 2022-05-10 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo revisado por pares application/pdf https://aprendoconnooj.unr.edu.ar/index.php/revista/article/view/9 10.35305/an.vi2.9 Aprendo con NooJ; Núm. 2 (2022) 2718-8574 eng https://aprendoconnooj.unr.edu.ar/index.php/revista/article/view/9/10 https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es
institution Universidad Nacional de Rosario
institution_str I-15
repository_str R-219
container_title_str Aprendo con NooJ
language Inglés
format Artículo revista
topic NooJ
gramática de NooJ
morfosintaxis del italiano
semántica formal
Léxico-Gramática
NooJ
NooJ Grammars
Italian morphosyntax
Formal Semantics
Lexicon-Grammar
spellingShingle NooJ
gramática de NooJ
morfosintaxis del italiano
semántica formal
Léxico-Gramática
NooJ
NooJ Grammars
Italian morphosyntax
Formal Semantics
Lexicon-Grammar
Monteleone, Mario
Morphosyntax and semantics in the NooJ italian dictionary of simple words
topic_facet NooJ
gramática de NooJ
morfosintaxis del italiano
semántica formal
Léxico-Gramática
NooJ
NooJ Grammars
Italian morphosyntax
Formal Semantics
Lexicon-Grammar
author Monteleone, Mario
author_facet Monteleone, Mario
author_sort Monteleone, Mario
title Morphosyntax and semantics in the NooJ italian dictionary of simple words
title_short Morphosyntax and semantics in the NooJ italian dictionary of simple words
title_full Morphosyntax and semantics in the NooJ italian dictionary of simple words
title_fullStr Morphosyntax and semantics in the NooJ italian dictionary of simple words
title_full_unstemmed Morphosyntax and semantics in the NooJ italian dictionary of simple words
title_sort morphosyntax and semantics in the nooj italian dictionary of simple words
description The main topic of this paper is to describe how to transform effectively the “lexical matter” of a language (not only Italian) into a formal and taxonomic morphosyntactic classification of the simple words stored and tagged inside NooJ electronic dictionaries. The ultimate goal is to build electronic dictionaries for NooJ that can be used effectively in Natural Language Processing (NLP) and Automatic Textual Analysis (ATA). To achieve this task, we will start from the following assumption: nouns inflection codes may prove useful not only to describe morphological behaviours and features, but also to “predict” syntactic combinations inside sentences. This means that inside NooJ finite-state automata (FSA) and transducers (FST), nouns inflection codes can account for Lexicon-Grammar (LG) co-occurrence and selection restriction rules, thus also providing for several aspects of formal semantics (FS). The method we intend to outline here can therefore become a descriptive and applicative standard, reusable for all those languages in which word inflection has a value not only morphological (as for gender, number and possibly case) but also syntactic. As is known, such a formal descriptive approach is absent in paper dictionaries, in which there is a tendency to “flatten” the morphosyntactic description of words in favour of a list of words which uses rely heavily on the linguistic competence of readers and speakers.
publisher Universidad Nacional de Rosario
publishDate 2022
url https://aprendoconnooj.unr.edu.ar/index.php/revista/article/view/9
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first_indexed 2023-05-16T22:14:06Z
last_indexed 2024-08-12T21:47:16Z
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