Lengua de señas argentina : una propuesta de diccionario digital

El presente artículo versa sobre de la realización de un diccionario digital de Lengua de Señas Argentina con la finalidad de obtener un medio que permita tanto el aprendizaje como el análisis de dicha lengua. A partir de la implementación de la Tecnicatura en Interpretación en Lengua de Señas en la Facultad de Educación Elemental y Especial en la Universidad Nacional de Cuyo, se llevaron adelante diversas investigaciones relacionadas con la temática, por lo que este trabajo pretende continuar la línea de investigación realizada por el equipo constituido por los autores de este artículo. A partir de esta propuesta, se pretende profundizar en conceptos específicamente lingüísticos atendiendo a los elementos propios de la Lengua de Señas Argentina, de Argentina en general y de Mendoza en particular. Este proyecto es llevado a cabo en forma conjunta entre los diferentes actores involucrados: estudiantes, egresados, profesores y miembros de la Comunidad Sorda de Mendoza. La elaboración de dicho material contribuirá por un lado, a legitimar la Lengua de Señas Argentina revirtiendo la situación sociolingüística actual de la Comunidad Sorda de Mendoza en particular, por otro añadir información lingüística específica del estudio de la lengua. Esto permitirá preservar el patrimonio lingüístico de la comunidad hablante de la Lengua de Señas Argentina.

Online Dictionary - Tool for Preservation of Language Heritage

The paper aims to represent a bilingual online dictionary as a useful tool helping preservation of the natural languages. The author focuses on the approach that was taken to develop compatible bilingual lexical database for the Bulgarian-Polish online dictionary. A formal model for the dictionary encoding is developed in accordance with the complex structures of the dictionary entries. These structures vary depending on the grammatical characteristics of Bulgarian headwords. The Web-application for presentation of the bilingual dictionary is also describred.

Web-application for Presentation of Bulgarian Language Heritage: Bilingual Digital Corpora and Dictionaries

The paper describes three software packages - the main components of a software system for processing and web-presentation of Bulgarian language resources – parallel corpora and bilingual dictionaries. The author briefly presents current versions of the core components “Dictionary” and “Corpus” as well as the recently developed component “Connection” that links both “Dictionary” and “Corpus”. The components main functionalities are described as well. Some examples of the usage of the system’s web-applications are included.

Information Technologies for the Preservation of Language Heritage

In this paper we try to present how information technologies as tools for the creation of digital bilingual dictionaries can help the preservation of natural languages. Natural languages are an outstanding part of human cultural values and for that reason they should be preserved as part of the world cultural heritage. We describe our work on the bilingual lexical database supporting the Bulgarian-Polish Online dictionary. The main software tools for the web- presentation of the dictionary are shortly described. We focus our special attention on the presentation of verbs, the richest from a specific characteristics viewpoint linguistic category in Bulgarian.

A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation: Application to Image Denoising

In big data image/video analytics, we encounter the problem of learning an over-complete dictionary for sparse representation from a large training dataset, which cannot be processed at once because of storage and computational constraints. To tackle the problem of dictionary learning in such scenarios, we propose an algorithm that exploits the inherent clustered structure of the training data and make use of a divide-and-conquer approach. The fundamental idea behind the algorithm is to partition the training dataset into smaller clusters, and learn local dictionaries for each cluster. Subsequently, the local dictionaries are merged to form a global dictionary. Merging is done by solving another dictionary learning problem on the atoms of the locally trained dictionaries. This algorithm is referred to as the split-and-merge algorithm. We show that the proposed algorithm is efficient in its usage of memory and computational complexity, and performs on par with the standard learning strategy, which operates on the entire data at a time. As an application, we consider the problem of image denoising. We present a comparative analysis of our algorithm with the standard learning techniques that use the entire database at a time, in terms of training and denoising performance. We observe that the split-and-merge algorithm results in a remarkable reduction of training time, without significantly affecting the denoising performance.

Case based reasoning as an extension of fault dictionary methods for linear electronic analog circuits diagnosis

El test de circuits és una fase del procés de producció que cada vegada pren més importància quan es desenvolupa un nou producte. Les tècniques de test i diagnosi per a circuits digitals han estat desenvolupades i automatitzades amb èxit, mentre que aquest no és encara el cas dels circuits analògics. D'entre tots els mètodes proposats per diagnosticar circuits analògics els més utilitzats són els diccionaris de falles. En aquesta tesi se'n descriuen alguns, tot analitzant-ne els seus avantatges i inconvenients. Durant aquests últims anys, les tècniques d'Intel·ligència Artificial han esdevingut un dels camps de recerca més importants per a la diagnosi de falles. Aquesta tesi desenvolupa dues d'aquestes tècniques per tal de cobrir algunes de les mancances que presenten els diccionaris de falles. La primera proposta es basa en construir un sistema fuzzy com a eina per identificar. Els resultats obtinguts son força bons, ja que s'aconsegueix localitzar la falla en un elevat tant percent dels casos. Per altra banda, el percentatge d'encerts no és prou bo quan a més a més s'intenta esbrinar la desviació. Com que els diccionaris de falles es poden veure com una aproximació simplificada al Raonament Basat en Casos (CBR), la segona proposta fa una extensió dels diccionaris de falles cap a un sistema CBR. El propòsit no és donar una solució general del problema sinó contribuir amb una nova metodologia. Aquesta consisteix en millorar la diagnosis dels diccionaris de falles mitjançant l'addició i l'adaptació dels nous casos per tal d'esdevenir un sistema de Raonament Basat en Casos. Es descriu l'estructura de la base de casos així com les tasques d'extracció, de reutilització, de revisió i de retenció, fent èmfasi al procés d'aprenentatge. En el transcurs del text s'utilitzen diversos circuits per mostrar exemples dels mètodes de test descrits, però en particular el filtre biquadràtic és l'utilitzat per provar les metodologies plantejades, ja que és un dels benchmarks proposats en el context dels circuits analògics. Les falles considerades son paramètriques, permanents, independents i simples, encara que la metodologia pot ser fàcilment extrapolable per a la diagnosi de falles múltiples i catastròfiques. El mètode es centra en el test dels components passius, encara que també es podria extendre per a falles en els actius.

Modelo linguístico-computacional para um dicionário analógico digital

Pós-graduação em Linguística e Língua Portuguesa - FCLAR

Development, Annotation and Protection of Digital Archive “Bulgarian Folklore Heritage”

The key to prosperity in today's world is access to digital content and skills to create new content. Investigations of folklore artifacts is the topic of this article, presenting research related to the national program „Knowledge Technologies for Creation of Digital Presentation and Significant Repositories of Folklore Heritage” (FolkKnow). FolkKnow aims to build a digital multimedia archive "Bulgarian Folklore Heritage” (BFH) and virtual information portal with folk media library of digitized multimedia objects from a selected collection of the fund of Institute of Ethnology and Folklore Studies with Ethnographic Museum (IEFSEM) of the Bulgarian Academy of Science (BAS). The realization of the project FolkKnow gives opportunity for wide social applications of the multimedia collections, for the purposes of Interactive distance learning/self-learning, research activities in the field of Bulgarian traditional culture and for the cultural and ethno-tourism. We study, analyze and implement techniques and methods for digitization of multimedia objects and their annotation. In the paper are discussed specifics approaches used to building and protect a digital archive with multimedia content. Tasks can be systematized in the following guidelines: * Digitization of the selected samples * Analysis of the objects in order to determine the metadata of selected artifacts from selected collections and problem areas * Digital multimedia archive * Socially-oriented applications and virtual exhibitions artery * Frequency dictionary tool for texts with folklore themes * A method of modern technologies of protecting intellectual property and copyrights on digital content developed for use in digital exposures.

Diccionario de Terminos Geologicos Ingles/Espanol - Espanol/Ingles; English/Spanish - Spanish/English Dictionary of Geological Terms (Dialogue #85)

This dictionary provides a portable, easy to use, and inexpensive bilingual list of geological terms for those in the earth sciences and engineering who have to work in both English and Spanish. The dictionary includes two major sections. The first comprises English terms, arranged alphabetically, alongside their Spanish equivalents; the second section comprises Spanish terms arranged alphabetically, alongside their English equivalents.

The Coming of Post-reflexive Society: Commodification and Language in Digital Capitalism

Language is a unique aspect of human communication because it can be used to discuss itself in its own terms. For this reason, human societies potentially have superior capacities of co-ordination, reflexive self-correction, and innovation than other animal, physical or cybernetic systems. However, this analysis also reveals that language is interconnected with the economically and technologically mediated social sphere and hence is vulnerable to abstraction, objectification, reification, and therefore ideology – all of which are antithetical to its reflexive function, whilst paradoxically being a fundamental part of it. In particular, in capitalism, language is increasingly commodified within the social domains created and affected by ubiquitous communication technologies. The advent of the so-called ‘knowledge economy’ implicates exchangeable forms of thought (language) as the fundamental commodities of this emerging system. The historical point at which a ‘knowledge economy’ emerges, then, is the critical point at which thought itself becomes a commodified ‘thing’, and language becomes its “objective” means of exchange. However, the processes by which such commodification and objectification occurs obscures the unique social relations within which these language commodities are produced. The latest economic phase of capitalism – the knowledge economy – and the obfuscating trajectory which accompanies it, we argue, is destroying the reflexive capacity of language particularly through the process of commodification. This can be seen in that the language practices that have emerged in conjunction with digital technologies are increasingly non-reflexive and therefore less capable of self-critical, conscious change.