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Emerging trends: APIs for speech and machine translation and more

  • KENNETH WARD CHURCH (a1)
Abstract

Lots of companies are offering lots of APIs. Reviews are not always as constructive as they could be. Some reviews encourage unproductive work on checkbox features that no one wants. It makes no sense to do the wrong thing badly. Constructive reviews should help focus priorities on what matters. Users care more about a great box opening experience than small improvements in word error rate and BLEU, popular metrics for speech and translation. In 15 minutes or less, can we teach potential users something new (and fun) that does something useful, such as how to translate PowerPoint between English and Chinese, preserving many of the features that are important to PowerPoint such as graphics and animations? See Appendix for the solution.

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Copyright
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
References
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Dale, R. 2016. How to make money in the translation business. Natural Language Engineering 22 (2): 321325. doi:10.1017/S1351324916000012
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Doddington, G., Liggett, W., Martin, A., Przybocki, M., and Reynolds, D. 1998. Sheep, goats, lambs and wolves: A statistical analysis of speaker performance in the NIST 1998 speaker recognition evaluation. National Inst of Standards and Technology Gaithersburg Md. arXiv:1808.01371v2.
Weisleder, A., and Fernald, A. 2013. Talking to children matters: Early language experience strengthens processing and builds vocabulary. Psychological science 24 (11): 21432152. doi:10.1177/0956797613488145.
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Natural Language Engineering
  • ISSN: 1351-3249
  • EISSN: 1469-8110
  • URL: /core/journals/natural-language-engineering
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