Literatura académica sobre el tema "Conversion of Human Signed Language"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Conversion of Human Signed Language".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Conversion of Human Signed Language"
Willoughby, Louisa, Howard Manns, Shimako Iwasaki y Meredith Bartlett. "Are you trying to be funny? Communicating humour in deafblind conversations". Discourse Studies 21, n.º 5 (15 de mayo de 2019): 584–602. http://dx.doi.org/10.1177/1461445619846704.
Texto completoRowe, Meredith L. "Gesture, speech, and sign. Lynn Messing and Ruth Campbell (Eds.). New York: Oxford University Press, 1999. Pp. 227." Applied Psycholinguistics 22, n.º 4 (diciembre de 2001): 643–47. http://dx.doi.org/10.1017/s0142716401224084.
Texto completoCorina, David P. y Heather Patterson Knapp. "Signed Language and Human Action Processing". Annals of the New York Academy of Sciences 1145, n.º 1 (diciembre de 2008): 100–112. http://dx.doi.org/10.1196/annals.1416.023.
Texto completoRobinson, Octavian. "Puppets, Jesters, Memes, and Benevolence Porn: The Spectacle of Access". Przegląd Kulturoznawczy, n.º 3 (53) (14 de diciembre de 2022): 329–44. http://dx.doi.org/10.4467/20843860pk.22.024.16613.
Texto completoWolfe, Rosalee, John C. McDonald, Thomas Hanke, Sarah Ebling, Davy Van Landuyt, Frankie Picron, Verena Krausneker, Eleni Efthimiou, Evita Fotinea y Annelies Braffort. "Sign Language Avatars: A Question of Representation". Information 13, n.º 4 (18 de abril de 2022): 206. http://dx.doi.org/10.3390/info13040206.
Texto completoGabarró-López, Sílvia y Laurence Meurant. "Contrasting signed and spoken languages". Languages in Contrast 22, n.º 2 (23 de agosto de 2022): 169–94. http://dx.doi.org/10.1075/lic.00024.gab.
Texto completoCorina, David. "Sign language and the brain: Apes, apraxia, and aphasia". Behavioral and Brain Sciences 19, n.º 4 (diciembre de 1996): 633–34. http://dx.doi.org/10.1017/s0140525x00043338.
Texto completoSlobin, Dan Isaac. "Breaking the Molds: Signed Languages and the Nature of Human Language". Sign Language Studies 8, n.º 2 (2008): 114–30. http://dx.doi.org/10.1353/sls.2008.0004.
Texto completoThompson, Robin L., David P. Vinson, Bencie Woll y Gabriella Vigliocco. "The Road to Language Learning Is Iconic". Psychological Science 23, n.º 12 (12 de noviembre de 2012): 1443–48. http://dx.doi.org/10.1177/0956797612459763.
Texto completoMcburney, Susan Lloyd. "William Stokoe and the discipline of sign language linguistics". Historiographia Linguistica 28, n.º 1-2 (7 de septiembre de 2001): 143–86. http://dx.doi.org/10.1075/hl.28.1.10mcb.
Texto completoTesis sobre el tema "Conversion of Human Signed Language"
Schneider, Andréia Rodrigues de Assunção. "Animação de humanos virtuais aplicada para língua brasileira de sinais". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2008. http://hdl.handle.net/10183/15313.
Texto completoDeaf people have a limited capacity of using oral language to communicate. Because of this, they use gestural languages as their native language. This makes it especially difficult for them to make use of basic services in a satisfactory way and to properly integrate the hearing world, to which the majority of the population belongs. Due to the fact that this language is only gestural, it is possible to say that the signs it comprises of can be simulated with the animation of virtual humans without losing the correct perception of their inherent meanings (what words they represent). This work describes a technique of animation for LIBRAS. The main idea is to take the movement of a sign from a description of its animation and execute it in a more or less wide manner in order to better use the available space for gesticulation without losing the meaning. The computer animation of a sign must be as close to the real gesture as possible. Its meaning must be easily understood and its execution must be natural (smooth and continuous). For that, the signs must be defined in accordance with the movement limitations imposed by the human joints, and the field of view of the receiver. Besides that, some relevant parameters must be analyzed and defined: speed of the movement, time and amplitude of the signs. Another important aspect to be addressed is the space that is available for the execution of the sign: depending on the area, the sign must be animated in a manner that makes it properly fit in it. The implementation of the technique resulted in a animation system for LIBRAS, that consists of three modules: • a virtual human modeler, so that the joints and DOFs are anatomically consistent with reality; • a gesture generator, which is responsible for the processing of parameters such as speed, time of execution of the gesture, joint configuration, in a file that describes the animation of the pose. It is worth emphasizing that the words in LIBRAS are known as signs. Already a sign is composed of one or more gestures and they are composed of poses; • an animator, which is responsible for generating the animation of a previously created sign, fitting (if necessary) the sign amplitude to the space available for its animation. The generated system has been submitted for tests in order to validate the technique. The goal of the tests was to check whether the generated signs were understandable - if the generated animation represented a certain word. All aspects above are presented and analyzed in detail.
Libros sobre el tema "Conversion of Human Signed Language"
Olivier, Pietquin y SpringerLink (Online service), eds. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces. New York, NY: Springer New York, 2012.
Buscar texto completoSang-in, Chŏn, ed. Hanʼguk hyŏndaesa: Chinsil kwa haesŏk. Kyŏnggi-do Pʻaju-si: Nanam Chʻulpʻan, 2005.
Buscar texto completoWilcox, Sherman y Corrine Occhino. Historical Change in Signed Languages. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935345.013.24.
Texto completoLemon, Oliver y Olivier Pietquin. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces. Springer, 2014.
Buscar texto completoLemon, Oliver y Olivier Pietquin. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces. Springer, 2012.
Buscar texto completoColetânea de pragmática: grupo de pesquisa linguagem, comunicação e cognição - VOL II. Brazil Publishing, 2022. http://dx.doi.org/10.31012/978-65-5861-431-9.
Texto completoRuokanen, Miikka. Trinitarian Grace in Martin Luther's The Bondage of the Will. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192895837.001.0001.
Texto completoCapítulos de libros sobre el tema "Conversion of Human Signed Language"
Wilcox, Sherman y Jill P. Morford. "Empirical methods in signed language research". En Human Cognitive Processing, 171–200. Amsterdam: John Benjamins Publishing Company, 2007. http://dx.doi.org/10.1075/hcp.18.14wil.
Texto completoBono, Mayumi, Tomohiro Okada, Kouhei Kikuchi, Rui Sakaida, Victor Skobov, Yusuke Miyao y Yutaka Osugi. "Chapter 13. Utterance unit annotation for the Japanese Sign Language Dialogue Corpus". En Advances in Sign Language Corpus Linguistics, 353–82. Amsterdam: John Benjamins Publishing Company, 2023. http://dx.doi.org/10.1075/scl.108.13bon.
Texto completoCrasborn, Onno y Menzo Windhouwer. "ISOcat Data Categories for Signed Language Resources". En Gesture and Sign Language in Human-Computer Interaction and Embodied Communication, 118–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34182-3_11.
Texto completoKallimani, Jagadish S., V. K. Ananthashayana y Debjani Goswami. "The Feature Extraction Algorithm for the Production of Emotions in Text-to-Speech (TTS) System for an Indian Regional Language". En Advances in Business Information Systems and Analytics, 17–30. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-996-0.ch003.
Texto completoEvans, Carolyn y Timnah Rachel Baker. "Communal Religious Rights or Majoritarian Oppression". En Freedom of Religion, Secularism, and Human Rights, 69–94. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198812067.003.0004.
Texto completoMorosov, Ivete. "A PRAGMÁTICA E OS JOGOS COMPORTAMENTAIS NAS COMUNICAÇÕES ORGANIZACIONAIS". En Coletânea de Pragmática: Grupo de Pesquisa Linguagem, comunicação e cognição. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-075-5-10.
Texto completoDias, Luzia Schalkoski y Angela Mari Gusso. "ANÁLISE MULTIMODAL DAS ESTRATÉGIAS DE POLIDEZ EM CAMPANHA DE DOAÇÃO DE SANGUE DO MINISTÉRIO DA SAÚDE". En Coletânea de Pragmática: Grupo de Pesquisa Linguagem, comunicação e cognição. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-075-5-11.
Texto completoFerreira, Marina Xavier. "A OSTENSÃO COMO ELEMENTO PRAGMÁTICO DA LIBRAS". En Coletânea de Pragmática: Grupo de Pesquisa Linguagem, comunicação e cognição. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-075-5-12.
Texto completoSantos, Sebastião Lourenço dos. "LINGUAGEM E COGNIÇÃO: UMA ABORDAGEM INTERDISCIPLINAR DOS PROCESSOS DE INTERPRETAÇÃO HUMANA". En Coletânea de Pragmática: Grupo de Pesquisa Linguagem, comunicação e cognição. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-075-5-2.
Texto completoFerreira, Rodrigo Bueno y Elena Godoy. "POÉTICA COGNITIVA: A PRAGMÁTICA NA COMUNICAÇÃO LITERÁRIA". En Coletânea de Pragmática: Grupo de Pesquisa Linguagem, comunicação e cognição. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-075-5-3.
Texto completoActas de conferencias sobre el tema "Conversion of Human Signed Language"
Vaswani, Vaishali, Akriti Kumari Singh, Anshuman Shastri y Namrata Arora Charpe. "COMM-G: A Communication Glove for Smart Communication". En Human Interaction and Emerging Technologies (IHIET-AI 2022) Artificial Intelligence and Future Applications. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe100905.
Texto completoKrishnan, Vinodh y Jacob Eisenstein. ""You’re Mr. Lebowski, I’m the Dude": Inducing Address Term Formality in Signed Social Networks". En Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/n15-1185.
Texto completoMurtaza, Zain, Hadia Akmal, Wardah Afzal, Hasan Erteza Gelani, Zain ul Abdin y Muhammad Hamza Gulzar. "Human Computer Interaction Based on Gestural Cues Recognition/Sign Language to Text Conversion". En 2019 International Conference on Engineering and Emerging Technologies (ICEET). IEEE, 2019. http://dx.doi.org/10.1109/ceet1.2019.8711835.
Texto completoBerg-Kirkpatrick, Taylor y Dan Klein. "GPU-Friendly Local Regression for Voice Conversion". En Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2015. http://dx.doi.org/10.3115/v1/n15-1148.
Texto completoKim, Hwa-Yeon, Jong-Hwan Kim y Jae-Min Kim. "Fast Bilingual Grapheme-To-Phoneme Conversion". En Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.naacl-industry.32.
Texto completoAldeneh, Zakaria, Matthew Perez y Emily Mower Provost. "Learning Paralinguistic Features from Audiobooks through Style Voice Conversion". En Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.naacl-main.377.
Texto completoYamasaki, Tomohiro. "Grapheme-to-Phoneme Conversion for Thai using Neural Regression Models". En Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.naacl-main.315.
Texto completoGodage, Ishika, Ruvan Weerasignhe y Damitha Sandaruwan. "Sign Language Recognition for Sentence Level Continuous Signings". En 10th International Conference on Natural Language Processing (NLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.112305.
Texto completoAlhalwachi, Ali, Omar Moreno-Flores, Shelbie Davis, Matthew Torrey, Khalid Altamimi y Shawn Duan. "Design and Assembly of a New Methane Generation System for Energy Conversion From Biowaste". En ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23482.
Texto completoRama, Taraka, Anil Kumar Singh y Sudheer Kolachina. "Modeling letter-to-phoneme conversion as a phrase based statistical machine translation problem with minimum error rate training". En Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Student Research Workshop and Doctoral Consortium. Morristown, NJ, USA: Association for Computational Linguistics, 2009. http://dx.doi.org/10.3115/1620932.1620948.
Texto completo