Abstract

To date there is no software that directly connects the linguistic analysis of a conversation to a network program. Networks programs are able to extract statistical information from data basis with information about systems of interacting elements. Language has also been conceived and studied as a complex system. However, most proposals do not analyze language according to linguistic theory, but use instead computational systems that should save time at the price of leaving aside many crucial aspects for linguistic theory. Some approaches to network studies on language do apply precise linguistic analyses, made by a linguist. The problem until now has been the lack of interface between the analysis of a sentence and its integration into the network that could be managed by a linguist and that could save the analysis of any language. Previous works have used old software that was not created for these purposes and that often produced problems with some idiosyncrasies of the target language. The desired interface should be able to deal with the syntactic peculiarities of a particular language, the options of linguistic theory preferred by the user and the preservation of morpho-syntactic information (lexical categories and syntactic relations between items). Netlang is the first program able to do that. Recently, a new kind of linguistic analysis has been developed, which is able to extract a complexity pattern from the speaker's linguistic production which is depicted as a network where words are inside nodes, and these nodes connect each other by means of edges or links (the information inside the edge can be syntactic, semantic, etc.). The Netlang software has become the bridge between rough linguistic data and the network program. Netlang has integrated and improved the functions of programs used in the past, namely the DGA annotator and two scripts (ToXML.pl and Xml2Pairs.py) used for transforming and pruning data. Netlang allows the researcher to make accurate linguistic analysis by means of syntactic dependency relations between words, while tracking record of the nature of such syntactic relationships (subject, object, etc). The Netlang software is presented as a new tool that solve many problems detected in the past. The most important improvement is that Netlang integrates three past applications into one program, and is able to produce a series of file formats that can be read by a network program. Through the Netlang software, the linguistic network analysis based on syntactic analyses, characterized for its low cost and the completely non-invasive procedure aims to evolve into a sufficiently fine grained tool for clinical diagnosis in potential cases of language disorders.

Highlights

  • The study of the language capacity–and the potential linguistic disorders a speaker can develop–experienced a great evolution when the first brain areas related to language were detected (i.e., Broca’s, Wernicke’s area [1])

  • The novelty of the present work is that we have developed specific software that solves many of the problems of previous one

  • The application of syntactic categories depending on the language, was successful and the nodes of the graph could be represented in different colors: red for English words, green for Spanish and yellow for proper names

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Summary

Introduction

The study of the language capacity–and the potential linguistic disorders a speaker can develop–experienced a great evolution when the first brain areas related to language were detected (i.e., Broca’s, Wernicke’s area [1]). Subsequent work, have proven that the initial model was too simple (e.g, [2,3]). Language development has been a really contentious issue: Chomsky’s claim that domain-general learning is unable to account for language acquisition While Chomsky advocates for some innate knowledge of grammar, authors like Mehler ([5], et seq.) have hypothesized that learning a language amounts to “unlearning” others (cf [6, 7, 8] among many others). For Tomasello ([9] et seq.) syntactic structures and categories are learned “one after another”

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