La evaluación de la competencia comunicativa específica en el ámbito de la ingeniería y la arquitectura

La progresiva internacionalización de las universidades españolas convierte a estas organizaciones en escenarios plurilingües. El español convive en ellos con otras lenguas, en especial el inglés, como vehículo de acceso y transmisión de conocimiento especializado. Esto requiere un proceso de alfabetización académica en lengua extranjera que tendrían que asumir las universidades de acogida, con objeto de preservar a los alumnos de los fracasos en los programas internacionales. Por el momento, en España, los programas de grado o de posgrado no establecen filtros con umbrales lingüísticos mínimos de acceso, a excepción de algunas universidades que se limitan a requerir certificados de grado de dominio del español general. No existen exámenes públicos de ingreso, o exámenes propios de postadmisión, que evalúen la habilidad lingüística comunicativa en contextos académicos. En este trabajo, se parte de la hipótesis de que los exámenes que certifican un grado de dominio de español general no sirven al propósito de discriminar a los alumnos capaces de seguir con éxito los programas de las universidades. Para verificarla, se desarrolla una prueba de examen específica que mida la capacidad de emplear el español en contextos académicos. La prueba se centra en las tareas que se revelan, en una primera fase exploratoria de la investigación, como más necesarias en lo que se refiere al uso del español como lengua vehicular: las clases magistrales. Una vez pilotada, se administró junto con otras destinadas a evaluar el grado de dominio de la lengua en contextos generales. Los resultados obtenidos del contraste de estas mediciones y de diversos análisis de los datos arrojan evidencias de que este tipo de prueba mide un constructo específico: la habilidad de uso del español en contextos académicos. ABSTRACT The progressive internationalization of Spanish universities has transformed these organizations into plurilingual scenarios. Spanish lives in them sharing the stage with other languages, especially English, as a means of access and transmission of expert knowledge. This requires a process of academic literacy in foreign language that host universities should assume, in order to safeguard students from failures in international programs. At the moment, in Spain, undergraduate or graduate programs do not set filters with minimum language requirements to gain access, except for some universities that merely require certificates of general Spanish. There are no Spanish language public admission exams, or post-enrollment tests of their own, to assess the communicative language ability of foreign students in academic contexts. In this dissertation, we start from the hypothesis that those tests that certify the student degree of mastery of the Spanish language do not serve the purpose of discriminating against students capable of successfully pursuing university programs. To prove it, a specific test that measures the ability to use Spanish in academic contexts was developed. This language test focused on the tasks associated with the most common genre, which revealed prominent in a first exploratory phase of the investigation, related to the use of Spanish as a means of instruction: university lectures. Once piloted, the test was administered along with others designed to assess the degree of mastery of the language in general contexts. Contrast results of these measurements and various analyzes of the data showed evidence that this type of test measures a specific construct: the ability to use Spanish in academic contexts.

Automatic compile-time parallelization of CLP programs by analysis and transformation to a concurrent constraint language.

The concept of independence has been recently generalized to the constraint logic programming (CLP) paradigm. Also, several abstract domains specifically designed for CLP languages, and whose information can be used to detect the generalized independence conditions, have been recently defined. As a result we are now in a position where automatic parallelization of CLP programs is feasible. In this paper we study the task of automatically parallelizing CLP programs based on such analyses, by transforming them to explicitly concurrent programs in our parallel CC platform (CIAO) as well as to AKL. We describe the analysis and transformation process, and study its efficiency, accuracy, and effectiveness in program parallelization. The information gathered by the analyzers is evaluated not only in terms of its accuracy, i.e. its ability to determine the actual dependencies among the program variables, but also of its effectiveness, measured in terms of code reduction in the resulting parallelized programs. Given that only a few abstract domains have been already defined for CLP, and that none of them were specifically designed for dependency detection, the aim of the evaluation is not only to asses the effectiveness of the available domains, but also to study what additional information it would be desirable to infer, and what domains would be appropriate for further improving the parallelization process.

Autonomous Acquisition of Natural Language

An important part of human intelligence is the ability to use language. Humans learn how to use language in a society of language users, which is probably the most effective way to learn a language from the ground up. Principles that might allow an artificial agents to learn language this way are not known at present. Here we present a framework which begins to address this challenge. Our auto-catalytic, endogenous, reflective architecture (AERA) supports the creation of agents that can learn natural language by observation. We present results from two experiments where our S1 agent learns human communication by observing two humans interacting in a realtime mock television interview, using gesture and situated language. Results show that S1 can learn multimodal complex language and multimodal communicative acts, using a vocabulary of 100 words with numerous sentence formats, by observing unscripted interaction between the humans, with no grammar being provided to it a priori, and only high-level information about the format of the human interaction in the form of high-level goals of the interviewer and interviewee and a small ontology. The agent learns both the pragmatics, semantics, and syntax of complex sentences spoken by the human subjects on the topic of recycling of objects such as aluminum cans, glass bottles, plastic, and wood, as well as use of manual deictic reference and anaphora.