Combining statistical and semantic approaches to the translation of ontologies and taxonomies

Ontologies and taxonomies are widely used to organize concepts providing the basis for activities such as indexing, and as background knowledge for NLP tasks. As such, translation of these resources would prove useful to adapt these systems to new languages. However, we show that the nature of these resources is significantly different from the "free-text" paradigm used to train most statistical machine translation systems. In particular, we see significant differences in the linguistic nature of these resources and such resources have rich additional semantics. We demonstrate that as a result of these linguistic differences, standard SMT methods, in particular evaluation metrics, can produce poor performance. We then look to the task of leveraging these semantics for translation, which we approach in three ways: by adapting the translation system to the domain of the resource; by examining if semantics can help to predict the syntactic structure used in translation; and by evaluating if we can use existing translated taxonomies to disambiguate translations. We present some early results from these experiments, which shed light on the degree of success we may have with each approach

Automatic Categorization for Improving Spanish into Spanish Sign Language Machine Translation

This paper describes a preprocessing module for improving the performance of a Spanish into Spanish Sign Language (Lengua de Signos Espanola: LSE) translation system when dealing with sparse training data. This preprocessing module replaces Spanish words with associated tags. The list with Spanish words (vocabulary) and associated tags used by this module is computed automatically considering those signs that show the highest probability of being the translation of every Spanish word. This automatic tag extraction has been compared to a manual strategy achieving almost the same improvement. In this analysis, several alternatives for dealing with non-relevant words have been studied. Non-relevant words are Spanish words not assigned to any sign. The preprocessing module has been incorporated into two well-known statistical translation architectures: a phrase-based system and a Statistical Finite State Transducer (SFST). This system has been developed for a specific application domain: the renewal of Identity Documents and Driver's License. In order to evaluate the system a parallel corpus made up of 4080 Spanish sentences and their LSE translation has been used. The evaluation results revealed a significant performance improvement when including this preprocessing module. In the phrase-based system, the proposed module has given rise to an increase in BLEU (Bilingual Evaluation Understudy) from 73.8% to 81.0% and an increase in the human evaluation score from 0.64 to 0.83. In the case of SFST, BLEU increased from 70.6% to 78.4% and the human evaluation score from 0.65 to 0.82.

Using Cross-Lingual Explicit Semantic Analysis for Improving Ontology Translation

Semantic Web aims to allow machines to make inferences using the explicit conceptualisations contained in ontologies. By pointing to ontologies, Semantic Web-based applications are able to inter-operate and share common information easily. Nevertheless, multilingual semantic applications are still rare, owing to the fact that most online ontologies are monolingual in English. In order to solve this issue, techniques for ontology localisation and translation are needed. However, traditional machine translation is difficult to apply to ontologies, owing to the fact that ontology labels tend to be quite short in length and linguistically different from the free text paradigm. In this paper, we propose an approach to enhance machine translation of ontologies based on exploiting the well-structured concept descriptions contained in the ontology. In particular, our approach leverages the semantics contained in the ontology by using Cross Lingual Explicit Semantic Analysis (CLESA) for context-based disambiguation in phrase-based Statistical Machine Translation (SMT). The presented work is novel in the sense that application of CLESA in SMT has not been performed earlier to the best of our knowledge.

Sobre la identidad de la ciudad. El estudio de la interacción audiovisual en las nuevas herramientas para el proyecto. El caso de Cuenca

Esta investigación se centra en el estudio de la dimensión audiovisual de la arquitectura, como aproximación intersensorial a la aprehensión e ideación del espacio. Poniendo en evidencia la complejidad de la relación hombre-medio, se plantea la necesidad de desarrollar nuevas metodologías y herramientas que tengan en cuenta dicha complejidad y que favorezcan el desarrollo del proyecto. Nos mueve en esta investigación la convicción de que los cambios rápidos y profundos que caracterizan nuestros tiempos en todos los ámbitos, social, económico, político… entrañan inevita-blemente nuevos modos de conocimiento y experimentación del espacio, y por tanto nuevos ejes de investigación. La creciente valoración, en todos los campos del conocimiento, de los aspectos subjetivos y sensoriales, el desarrollo de las tecnologías que ha cambiado completamente nuestras relaciones interpersonales y con el entorno, las nuevas capacidades de análisis, grabación y conservación y manipulación de datos y por ultimo, aunque no menos importante, la puesta a disposición democrá¬tica y global de todo el saber a través de Internet, imponen otra aproximación al hacer, concebir y vivir la arquitectura. Esta investigación se centra en un análisis crítico del estado de la cuestión, construyendo nue¬vas redes de relación entre disciplinas, que permitan plantear la dimensión audiovisual como un nuevo eje de investigación dentro de la arquitectura, poniendo en evidencia la necesidad de desa¬rrollar análisis de forma trasversal e interdisciplinar. Hemos prestado particular atención a la evolución de lo sonoro y su aproximación cualitativa a la arquitectura, mostrando como el sonido, con su capacidad de introducir el tiempo y los aspectos dinámicos (el movimiento, la presencia del cuerpo…), no es simplemente otro canal sensorial en la aprehensión del espacio, ya que su interacción con lo visual genera un espacio-tiempo indisociable, propio, característico de cada momento y lugar. A partir de este planteamiento se ha hecho una revisión metodológica dirigida a utilizar el reco¬rrido como herramienta de análisis, que permita estudiar la relación entre el espacio, la acción y la percepción audio-visual, cruzando para ello los datos correspondientes a la morfología del espacio, con los datos de la experiencia perceptiva individual y con los de los usos colectivos del espacio, utilizándose finalmente el video como un herramienta, no sólo de representación de lo real, sino también como instrumento de análisis, que permite tomar datos (grabaciones audio, video, obser¬vaciones…), aislarlos, estudiarlos, clasificarlos, ordenarlos, y finalmente, restituirlos mediante el montaje. Se ha realizado una primera experimentación “in situ” que ha servido para explorar la aplicación del método, planteando nuevas preguntas y abriendo líneas de análisis para ulteriores investigacio¬nes. ABSTRACT This research is focused on the study of the audiovisual dimension of architecture, as an in¬tersensorial approach to space apprehension and design. It is posed the necessity to develop new methodologies and tools that keep this complexity, as a contribution to the development of a project, by means of putting into evidence the sophistication of the relationship between man and media The research moves us to the conviction that the quick and relevant changes that confer a distinc-tion to these contemporary times all over the social, economic and political environments, involve, unavoidably, new ways of knowledge and experimentation on space, and therefore, new trends of research. The growing valuation of subjective and sensorial aspects all over the fields of the knowledge and the development of the technologies that have changed completely our interpersonal and environmental relationships, the new tools for analysis, recording, conservation and manipulation of data and, last but not least, the setting to democratic and global availability of the whole knowledge through Inter¬net, impose another approach to the making, conception and experience of architecture. This research deals with a critical analysis of the state–of- the-art of the matter, modelling new webs of relationship among disciplines that allow to outline the audiovisual dimension as a new focus of research on architecture, putting evidence into practice as it is necessary to develop any analysis in a transversal and interdisciplinary way. It is paid a special attention to the evolution of sound objects and their qualitative approach to ar¬chitecture, showing how sound, with its capacity to transmit time and dynamic aspects of things (movement, the presence of the body), it is not simply another sensorial channel in the apprehension of space, since its interaction with the visual thing generates an undetachable association of space and time, an specific one of every moment and place. Starting from this position a methodological revision has been made leading to use a walk as a tool for analysis that allows to study the relationship among the space, the action and the audio-visual perception, by means of crossing data corresponding to the morphology of space, with the data of a perceptive experience from the perspective of an individual observer and with those of the collective uses of the space, as video has been finally used as a tool, not only as a representation of the real thing, but also as a tool for analysis that allows to take isolated data (audio recordings, video, obser¬vations), to be studied, classified, and put into their appropriate place, and finally, to restore them by means of a multimedia set up. A first experimentation in situ has been carried out, being useful to explore a method of appli¬cation, outlining new questions and beginning with new ways of analysis for further research.