
handle: 10045/1328
La generación de recursos dentro de un grupo de investigación se ve fuertemente influenciada por la movilidad del personal eventual, por la propia evolución profesional del personal fijo, así como por la constante revisión de las técnicas y materiales necesarios. El resultado es un conjunto de herramientas y datos poco cohesionados que suponen un esfuerzo extra a la hora de establecer un marco de prototipado. En este sentido hay ya varias propuestas de entornos de integración y evaluación de herramientas pero con una curva de aprendizaje a veces notable, al tiempo que poco flexible en determinadas situaciones. Este artículo presenta una propuesta de organización de los recursos ajenos y propios de un grupo de investigación que permite, con una muy fácil implementación, un ahorro en tiempo y costes de programación, y una gestión eficiente mediante el uso transparente de las capacidades actuales de las redes cliente-servidor.
The generation of resources within a research group is strongly influenced by the features of the staff, such as its professional evolution or its own temporariness, as well as the constant revision of techniques and materials. The result is a set of tools and data poorly coordinated that means an extra effort when establishing a prototyping frame. In this sense, there are already several Text Engineering Architectures for integration and evaluation of tools. However, they are hard to understand and use in some cases, and suffer from a lack of flexibility in others. This article presents a proposal of organizing own and other people’s resources in a research group that allows, with a very easy implementation, low costs in time and programming, besides an efficient management, by means of using the current capacities of the client-server networks.
Este trabajo esta subvencionado por el Ministerio de Ciencia y Tecnología mediante el proyecto R2D2 de referencia TIC2003-07158-C04.
Entornos PLN, NLP environments, Prototipado, Corpus annotation, Anotación de corpus, Prototyping
Entornos PLN, NLP environments, Prototipado, Corpus annotation, Anotación de corpus, Prototyping
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