41,237 research outputs found
ChatGPT-Based Learning And Reading Assistant (C-LARA): Second Report
No full textChatGPT-based Learning And Reading Assistant (C-LARA – pronounced “Clara”) is an AIbasedplatform which allows users to create multimodal texts designed to improve reading skillsin second languages. GPT-4/ChatGPT-4 is central to the project: as well as being the corelanguage processing component, it has in collaboration with a human partner developed thegreater part of the codebase.Following on from the initial progress report, released in July 2023, we focus on new workcarried out during the period August 2023 – March 2024. The platform is far more usable. CLARAis now packaged with a wizard-style interface (“Simple C-LARA”) that allows the nonexpertuser to create a complete illustrated multimodal text by entering a prompt and approvingdefault choices a few times, and the software is deployed on a fast dedicated server maintained bythe University of South Australia. Other substantial new pieces of functionality are support for“phonetic texts”, where words are automatically divided up into units associated with phoneticvalues; “reading histories”, which support the combination of several texts into a single virtualdocument; and the social network, rudimentary in the first version, which now includes supportfor friending, an update feed, and email alerts.To investigate the AI’s abilities as a language processor, we present an experiment where wecreated six texts for each of five languages, using the same prompts for each language, andevaluated the accuracy of the language processing. We also give the results when some of theexperiments were repeated five months later with a newer version of GPT-4, in the case ofEnglish revealing a dramatic reduction in error rates. A small questionnaire-based study probesusers’ subjective views of C-LARA projects they have created: in general, people are pleasedwith the results, to the extent that they are often sharing them.With regard to GPT-4/ChatGPT-4’s software engineer role, we present a breakdown of thevarious modules and functionalities, indicating the AI’s contribution. It is capable of writing thesimpler modules on its own or with minimal human assistance, and only had serious problemswith a small number of top-level functionalities, in particular “Simple C-LARA”, which directlyor indirectly involved most of the codebase.We describe initial use cases, including trialling of C-LARA in a school classroom, integratingit into the experimental CALL platform Basm, and creating multimodal texts in the Oceaniclanguages Drehu and Iaai. A short section summarises our policy on ethical issues concerningthe crediting of the AI as an author. The appendices present examples illustrating use of theSimple C-LARA and Advanced C-LARA versions of the platform, list functionalities and codefiles, and reproduce conversations with the AI about various aspects of the project
Entrevista con Rubén Lara Lara en la reunión semestral Primavera 2012
No full textReunión Semestral Primavera 2012. Formato; vídeo/flvEntrevista con el Coordinador del Taller de la Agencia Mexicana de Mares y Costas.
Entrevistas realizadas a ponentes y coordinadores en la Reunión CUDI Primavera 2012, desde la Ciudad de Ensenada, en esta ocasión se entrevisto a ” Rubén Lara Lara “, en ella nos cuenta sobre su participación y experiencia del evento. Formato; vídeo/flv.Ruben_Lara_Lara.flv/C
Using C-LARA to evaluate GPT-4's multilingual processing∗
No full textWe present a cross-linguistic study in which the open source C-LARA platform was used to evaluate GPT-4’s ability to perform several key tasks relevant to Computer Assisted Language Learning. For each of the languages English, Farsi, Faroese, Mandarin and Russian, we instructed GPT-4, through C-LARA, to write six different texts, using prompts chosen to obtain texts of widely differing character. We then further instructed GPT-4 to annotate each text with segmentation markup, glosses and lemma/part-of-speech information; native speakers hand-corrected the texts and annotations to obtain error rates on the different component tasks. The C-LARA platform makes it easy to combine the results into a single multimodal document, further facilitating checking of their correctness. GPT-4’s performance varied widely across languages and processing tasks, but performance on different text genres was roughly comparable. In some cases, most notably glossing of English text, we found that GPT-4 was consistently able to revise its annotations to improve them
Jangan Pergi, Lara
No full textKarena iba pada saudara kembar Lara yang mengidap penyakit jantung, Dokter Adrian memilih Lina, dan memutuskan hubungannya dengan Lara. Lara kemudian berpaling pada Dedi, bekas pasiennya yang selalu mengejar-ngejar dirinya. Dokter Adrian baru menyesali keputusannya ketika sesudah dia menikah dengan Lina, Lara didiagnosis mengidap kanker tulang.... Akan kembalikah Dokter Adrian pada cinta pertamanya? Tegakah Lara mengkhianati saudara kembarnya, meskipun dia sendiri tengah berada di bawah bayang-bayang maut? Jangan Pergi Lara, Novel Mira W yang telah diangkat ke layar kaca dengan judul Cinta Dara Kembar.208 hlm; 18 c
"Construction de l'espace scénograhique et ubiquité" - Olivia Dorado
No full textOlivia Dorado est en 3ème année de doctorat au sein de l’équipe de recherche du LARA. Ancienne cheffe décoratrice dans le cinéma et le spectacle vivant, ses recherches tout comme son travail sont particulièrement attachés à l’aspect sensible de la création par les effets optiques et mécaniques. Son sujet de thèse porte sur la revalorisation des techniques d’effets spéciaux à la prise de vue par le biais de l’hybridation. Résumé de l'articleLe point de vue total obtenu avec un dispositif de c..
Caracter\uedsticas cl\uednicas epidemiol\uf3gicas del c\ue1ncer de mama. Servicio Desconcentrado Oncol\uf3gico del Estado Lara
No full textEl C\ue1ncer de Mama es una enfermedad grave y compleja, que supone una ruptura en el ritmo y en el estilo de vida, y conlleva un gran impacto emocional no solo para la persona que lo padece sino tambi\ue9n para el entorno familiar y social, representa el 31% de todos los tumores de la poblaci\uf3n femenina. Con el objetivo de describir las caracter\uedsticas cl\uednico epidemiol\uf3gicas del c\ue1ncer de mama en las pacientes que acuden por primera vez al Servicio Desconcentrado de Oncolog\ueda del Estado Lara durante el a\uf1o 2011 se realiz\uf3 un estudio descriptivo de corte transversal, obteniendo como resultado que la edad promedio de las mujeres estuvo51,51\ub113,30 a\uf1os. De las pacientes estudiadas el 83,33% pertenec\uedan al estado Lara. El 37,17% de ten\uedan como ocupaci\uf3n amas de casas. En cuanto a los antecedentes obst\ue9tricos de las predomino entre I-II gesta con un 34,61%. Por otro lado los antecedentes patol\uf3gicos personales encontrados hipertensi\uf3n arterial con un 25,64% seguido de un 17, 94% de Obesidad. Seg\ufan la clasificaci\uf3n del BI-RADS mamogr\ue1fico y ecogr\ue1fico se encontr\uf3 en un 50 % BI-RADS V y 49,9 % BI-RADS IV respectivamente. El tipo histol\uf3gico que predomino en 83,33% fue el carcinoma ductal invasivo. As\ued como tambi\ue9n el 78,20% presentaron positividad para el marcador inmunohistoqu\uedmicos estrog\ue9nico (ER)
Fotografía UDBC014412
No full textFotografía del ejemplar Lara, C., determinado como Phytolacca icosandra en el año 200
Fotografía UDBC014410
No full textFotografía del ejemplar Lara, C. 36, determinado como Solanum quitoense en el año 200
Fotografía UDBC014413
No full textFotografía del ejemplar Lara, C., determinado como Weinmannia tomentosa en el año 200
Fotografía UDBC014411
No full textFotografía del ejemplar Lara, C., determinado como Drimys granadensis en el año 200
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