1. Articles in category: Machine Translation

    7321-7344 of 7938 « 1 2 ... 303 304 305 306 307 308 309 ... 329 330 331 »
    1. Language Weaver Founder and Colleagues Improve Name Translation Using Statistical Algorithms

      COLUMBUS, Ohio----Language Weaver, the leader in statistical software-based language translation solutions for the enterprise, announced today the development of a new, highly effective method of translating names using statistical machine translation.
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    2. Other applications of the Burrows-Wheeler Transform

      Traditionally the major application of the Burrows-Wheeler Transform has been for data compression and efficient storage, and earlier chapters in this book have provided a detailed consideration of the BWT from this viewpoint, analyzing its performance for data compression. However, recent research on the Burrows-Wheeler Transform has shown the versatility of the BWT, and hence efforts are shifting from its traditional application in data compression to other areas of study. In Chapter 7 we showed how the BWT provides an effective mechanism for rapid pattern matching. In this chapter we expand more on its many uses, focusing on new and ...
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    3. Task parallelization in a text-to-text system

      BACKGROUNDText to text applications include machine translation and other machine intelligence systems such as speech recognition and automated summarization. These systems often rely on training that is carried out based on information from specifieddatabases known as corpora.A training pipeline may include many millions of words. It is not uncommon for the training to take weeks. There is often a tradeoff between the speed of the processing and the accuracy of the obtained information.It is de
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    4. One-row keyboard and approximate typing

      BACKGROUNDIt is fascinating to reflect on the great impact of the PC on society. The PC is clearly capable of doing a whole lot more than what we use it for. Essentially, for many the PC became a replacement for the typewriter, and it is still largely aword processor. The other initial application that drove PC adoption was the spreadsheet. Then it also became a presentation creation tool. Over time, email was introduced and, even more recently, Web browsing. Web browsing, in turn, is giving ris
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    5. Old school conference blogging

      These days, the "conference blog" has come to be a fairly accepted part of an academic blogger's repertoire. I've actually received an email on the third day of a conference that people knew I was attending asking "why haven't you blogged yet!" Colleagues who blog have shared similar stories. How did the world manage without us?! I occasionally like to read through old papers, like from the late 70s, early 80s, mostly in stats, but occasionally in NLP or ML. Mostly it's fun; often I learn things
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    6. New Features

      Doing some catch-up here, so some of you may have already seen some of these new features – let me know what you think of them! English to Spanish general domain system deployed on live site Our team is constantly working to improve our translation quality. As you know, some of our general domain systems are powered by third party systems, while we develop our own technology for these languages. This month we rolled out our own English to Spanish general domain system, which significantly beat our quality bar. Spanish is our highest traffic language, so we"re really excited about ...
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    7. Congratulations to the Msr-mt researchers!

      The National Institute of Standards and Technology has published its 2008 Machine Translation Evaluation Results.  From their website: The NIST 2008 Machine Translation Evaluation (MT-08) is part of an ongoing series of evaluations of human language translation technology. NIST conducts these evaluations in order to support machine translation (MT) research and help advance the state-of-the-art in machine translation technology. These evaluations provide an important contribution to the direction of research efforts and the calibration of technical capabilities. The evaluation was administered as outlined in the official MT-08 evaluation plan. Check out our research team's results in Chinese to English ...
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    8. Semi-supervised model adaptation for statistical machine translation

      Abstract  Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in the target language (used to train a language model). In this article we explore the use of semi-supervised model adaptation methods for the effective use of monolingual data from the source language in order to improve translation quality. We propose several algorithms with this aim, and present the strengths and weaknesses of each one. We present detailed experimental evaluations on the French–English EuroParl data set and on data from the NIST ...
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    9. Review of Dubkjaer, Laila; Hemsen, Holmer; Minker, Wolfgang (eds) Evaluation of Text and Speech Systems

      Review of Dubkjaer, Laila; Hemsen, Holmer; Minker, Wolfgang (eds) Evaluation of Text and Speech Systems Content Type Journal ArticleCategory Book reviewDOI 10.1007/s10590-008-9037-2Authors Núria Bel, Universitat Pompeu Fabra Institut Universitari de Lingüística Aplicada Pl. Mercè, 10-12 Barcelona 08002 Spain Journal Machine TranslationOnline ISSN 1573-0573Print ISSN 0922-6567
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    10. Language Weaver CEO Says Professional Translators Are Using Software-based Statistical Translation to Expand Business

      In Berlin for Localization World, a global conference that focuses on translation and localization, Language Weaver CEO Mark Tapling said today that the future is bright for Language Service Providers (LSPs) who embrace statistical machine translation as a tool to greatly expand business and increase margins.
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