979 resultados para Natural Language


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Since language is multifaceted and heterogeneous, interdisciplinarity is natural to linguistic studies. In this article, after demonstrating that, I present two basic ways of doing science. One is ruled by the principle of exclusion, whereas the other is ruled by the principle of participation. The former leads to specialization, whereas the latter leads to the surpassing of specialization. From that, I discuss the advantages and problems of disciplinarity, and present the reasons why nowadays interdisciplinarity is a positive universal in scientific and pedagogical discourses. Also, based on etymology, I discuss the concepts of interdisciplinarity, multidisciplinarity, pluridisciplinarity and transdisciplinarity. Finally, I examine the bonds between linguistics and other sciences, by drawing a brief history of the relations between linguistics and literature in Brazil.

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Sign language is the form of communication used by Deaf people, which, in most cases have been learned since childhood. The problem arises when a non-Deaf tries to contact with a Deaf. For example, when non-Deaf parents try to communicate with their Deaf child. In most cases, this situation tends to happen when the parents did not have time to properly learn sign language. This dissertation proposes the teaching of sign language through the usage of serious games. Currently, similar solutions to this proposal do exist, however, those solutions are scarce and limited. For this reason, the proposed solution is composed of a natural user interface that is intended to create a new concept on this field. The validation of this work, consisted on the implementation of a serious game prototype, which can be used as a source for learning (Portuguese) sign language. On this validation, it was first implemented a module responsible for recognizing sign language. This first stage, allowed the increase of interaction and the construction of an algorithm capable of accurately recognizing sign language. On a second stage of the validation, the proposal was studied so that the pros and cons can be determined and considered on future works.

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Hand gestures are a powerful way for human communication, with lots of potential applications in the area of human computer interaction. Vision-based hand gesture recognition techniques have many proven advantages compared with traditional devices, giving users a simpler and more natural way to communicate with electronic devices. This work proposes a generic system architecture based in computer vision and machine learning, able to be used with any interface for human-computer interaction. The proposed solution is mainly composed of three modules: a pre-processing and hand segmentation module, a static gesture interface module and a dynamic gesture interface module. The experiments showed that the core of visionbased interaction systems could be the same for all applications and thus facilitate the implementation. For hand posture recognition, a SVM (Support Vector Machine) model was trained and used, able to achieve a final accuracy of 99.4%. For dynamic gestures, an HMM (Hidden Markov Model) model was trained for each gesture that the system could recognize with a final average accuracy of 93.7%. The proposed solution as the advantage of being generic enough with the trained models able to work in real-time, allowing its application in a wide range of human-machine applications. To validate the proposed framework two applications were implemented. The first one is a real-time system able to interpret the Portuguese Sign Language. The second one is an online system able to help a robotic soccer game referee judge a game in real time.

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Vision-based hand gesture recognition is an area of active current research in computer vision and machine learning. Being a natural way of human interaction, it is an area where many researchers are working on, with the goal of making human computer interaction (HCI) easier and natural, without the need for any extra devices. So, the primary goal of gesture recognition research is to create systems, which can identify specific human gestures and use them, for example, to convey information. For that, vision-based hand gesture interfaces require fast and extremely robust hand detection, and gesture recognition in real time. Hand gestures are a powerful human communication modality with lots of potential applications and in this context we have sign language recognition, the communication method of deaf people. Sign lan- guages are not standard and universal and the grammars differ from country to coun- try. In this paper, a real-time system able to interpret the Portuguese Sign Language is presented and described. Experiments showed that the system was able to reliably recognize the vowels in real-time, with an accuracy of 99.4% with one dataset of fea- tures and an accuracy of 99.6% with a second dataset of features. Although the im- plemented solution was only trained to recognize the vowels, it is easily extended to recognize the rest of the alphabet, being a solid foundation for the development of any vision-based sign language recognition user interface system.

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The study tested three analytic tools applied in SLA research (T-unit, AS-unit and Idea-unit) against FL learner monologic oral data. The objective was to analyse their effectiveness for the assessment of complexity of learners' academic production in English. The data were learners' individual productions gathered during the implementation of a CLIL teaching sequence on Natural Sciences in a Catalan state secondary school. The analysis showed that only AS-unit was easily applicable and highly effective in segmenting the data and taking complexity measures

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As a constantly evolving set of complex biotechnologies, medically assisted procreation (MAP) jeopardises a category that seems to be taken for granted: that of 'natural'. What is 'natural' or not when MAP is used to procreate? What are the boundaries between a 'natural' and a 'non-natural' fertilisation? Drawing upon a dialogical approach to language and cognition, our study examined the semantic field of the category 'natural' as expressed in interviews between a psychiatrist and seven couples who resorted to MAP and had to decide whether to keep their frozen pre-embryonic cells (zygotes) for further procreation or to allow them be destroyed. We examined how these couples evoked the category 'natural' and showed that in their argumentation, the category 'natural' encompassed a wide variety of phenomena, which shifted the boundaries between the 'natural' and 'non-natural'. In so doing, the couples 'renaturalised' MAP, normalized it, moved the boundaries between what is legitimate or not, and showed their accountability. Hence, reference to the category 'natural' seemed to act both as an argumentative and a psychological resource in the elaboration of the person's experience in resorting to MAP.

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El objetivo de PANACEA es engranar diferentes herramientas avanzadas para construir una fábrica de Recursos Lingüísticos (RL), una línea de producción que automatice los pasos implicados en la adquisición, producción, actualización y mantenimiento de los RL que la Traducción Automática y otras tecnologías lingüísticas, necesitan.