Search Results - "Läubli, Samuel"

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  1. 1

    A Set of Recommendations for Assessing Human–Machine Parity in Language Translation by Läubli, Samuel, Castilho, Sheila, Neubig, Graham, Sennrich, Rico, Shen, Qinlan, Toral, Antonio

    “…The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional…”
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    Journal Article
  2. 2

    What's the Difference Between Professional Human and Machine Translation? A Blind Multi-language Study on Domain-specific MT by Fischer, Lukas, Läubli, Samuel

    Published 08-06-2020
    “…Machine translation (MT) has been shown to produce a number of errors that require human post-editing, but the extent to which professional human translation…”
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    Journal Article
  3. 3

    Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model by Amrhein, Chantal, Schottmann, Florian, Sennrich, Rico, Läubli, Samuel

    Published 18-05-2023
    “…Natural language generation models reproduce and often amplify the biases present in their training data. Previous research explored using sequence-to-sequence…”
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    Journal Article
  4. 4

    Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation by Läubli, Samuel, Sennrich, Rico, Volk, Martin

    Published 21-08-2018
    “…Recent research suggests that neural machine translation achieves parity with professional human translation on the WMT Chinese--English news translation task…”
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    Journal Article
  5. 5

    The Impact of Text Presentation on Translator Performance by Läubli, Samuel, Simianer, Patrick, Wuebker, Joern, Kovacs, Geza, Sennrich, Rico, Green, Spence

    Published 11-11-2020
    “…Widely used computer-aided translation (CAT) tools divide documents into segments such as sentences and arrange them in a side-by-side, spreadsheet-like view…”
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  6. 6

    A Set of Recommendations for Assessing Human-Machine Parity in Language Translation by Läubli, Samuel, Castilho, Sheila, Neubig, Graham, Sennrich, Rico, Shen, Qinlan, Toral, Antonio

    Published 03-04-2020
    “…Journal of Artificial Intelligence Research 67 (2020) 653-672 The quality of machine translation has increased remarkably over the past years, to the degree…”
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    Journal Article
  7. 7

    Automatic TM Cleaning through MT and POS Tagging: Autodesk's Submission to the NLP4TM 2016 Shared Task by Zwahlen, Alena, Carnal, Olivier, Läubli, Samuel

    Published 19-05-2016
    “…We describe a machine learning based method to identify incorrect entries in translation memories. It extends previous work by Barbu (2015) through…”
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    Journal Article
  8. 8

    Post-editing Productivity with Neural Machine Translation: An Empirical Assessment of Speed and Quality in the Banking and Finance Domain by Läubli, Samuel, Amrhein, Chantal, Düggelin, Patrick, Gonzalez, Beatriz, Zwahlen, Alena, Volk, Martin

    Published 04-06-2019
    “…Neural machine translation (NMT) has set new quality standards in automatic translation, yet its effect on post-editing productivity is still pending thorough…”
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  9. 9

    Nematus: a Toolkit for Neural Machine Translation by Sennrich, Rico, Firat, Orhan, Cho, Kyunghyun, Birch, Alexandra, Haddow, Barry, Hitschler, Julian, Junczys-Dowmunt, Marcin, Läubli, Samuel, Barone, Antonio Valerio Miceli, Mokry, Jozef, Nădejde, Maria

    Published 13-03-2017
    “…We present Nematus, a toolkit for Neural Machine Translation. The toolkit prioritizes high translation accuracy, usability, and extensibility. Nematus has been…”
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    Journal Article