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1.
Translating into success : cutting/edge strategies for going multilingual in a global age por
  • Sprung, Robert C [ed.]
  • Jaroniec, Simone [ed.]
  • American Translators Association
Series Scholarly monograph series ; XITemas: HERRAMIENTAS PARA LA TRADUCCIÓN; INDUSTRIA DEL LENGUAJE; LINGUISTICA COMPUTACIONAL; SERIES MONOGRAFICAS; TRADUCCION AUTOMATICA; TRADUCCIÓN Y CULTURA.
Tipo de material: Texto Texto; Forma literaria: No es ficción
Detalles de publicación: Amsterdam : John Benjamins Publishing Company, 2000
Resumen: The emerging language industry is sorely in need of "best practices"- standards of excellence for crossing language barriers in an increasingly wired world. This book aims to help fill that gap, answering the key questions in global communication today: how do we speak our customers language around the world?, how do we cut translation time and cost?, how do we stay on top of language technology?. This book content five sections: -cross-cultural adaptation; -language management; -localizing the product; -language tools and techniques; -language automation.
Disponibilidad: Ítems disponibles para préstamo: Biblioteca Bartolomé Mitre (1)Signatura topográfica: 81 ́25 [082.1] =111 S64 XI.

2.
Technology as translation strategy por
  • Vasconcellos, Muriel [ed.]
Series Scholarly monograph series ; IITemas: HERRAMIENTAS PARA LA TRADUCCIÓN; SERIES MONOGRAFICAS; TECNOLOGIA; TRADUCCIÓN; TRADUCCION ASISTIDA POR COMPUTADORA; TRADUCCION AUTOMATICA.
Tipo de material: Texto Texto; Forma literaria: No es ficción
Detalles de publicación: Binghamton : American Translator Association; State University of New York at Birghamtom, 1988
Resumen: Editor's Notes: Translators may be surprised to learn that the idea of using machines to facilitate the translation task has been around for a very long time. Already more than half a century ago inventors were at work on machines that would effect the transfer from one language to another.l In as early as 1933 a patent was granted in France to Georges Artsruni for his "mechanical brain" that could replace words or combinations of words with equivalents retrieved from a target dic~ tionary. Also, in that same year, P.P. Trojanskij, working in the USSR, proposed a complete translation process that would be largely automatic. Words were to be entered in a source dictionary together with "logical analysis marks" and then paired with their equivalents in a target dictionary, which also had their associated marks. An input text, matched word for word against the source dictionary, would undergo analysis and, based on the information from the analysis marks, be converted into logical formo An automated lookup would then retrieve, for the elements in logical form, tl¡eir corresponding equivalents in the target dictionary, and the grammatical forms would be generated automatically, based on the marks assigned to each entry. T rojanskij envisioned that human beings would be needed at the front end, to supply the words and the logical marks for the dictionary, and at the output end, to modify the text so that it would have the characteris~ tics of natural language. Trojanskij's model is in fact a clear and accurate description of machine translation (MT) as we know it today. The process was not to become a reality, however, until computer science itself caught up with his vision.
Disponibilidad: Ítems disponibles para préstamo: Biblioteca Bartolomé Mitre (1)Signatura topográfica: 81'25 [082.1] =111 S64 II.

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