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Emerging trends: Inflation

  • KENNETH CHURCH (a1)
Abstract
Abstract

Our field has enjoyed amazing growth over the years. Is this a good thing or a bad thing, or just a thing? Good: Growth sounds good. It is hard to imagine a politician arguing against jobs. There are more people working in the field than ever before, and they are publishing more and more, and creating more and more value. What could be wrong with that? Bad: Whatever you measure you get. We are all under too much pressure to publish too much too quickly. Students are graduating these days with more publications than what used to be expected for tenure. So many people are publishing so much that no one has time to think great thoughts, or take time to learn about things that may not be directly relevant to the next publication. Neutral: Inflation is a fact of life. There are long-term macro trends on publication rates that are beyond our control. These trends hold over tens and hundreds of years, and will continue over the foreseeable future.

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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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Church K. 2016. Emerging trends: the next generation. In Natural Language Engineering, vol. 26, no. 6, pp. 997–980. Cambridge University Press.
Church K. 2017. Emerging trends: I did it, I did it, I did it, but. . .. In Natural Language Engineering, vol. 23, no. 3, pp. 473480. Cambridge University Press.
Church K. 2011. A pendulum swung too far. Linguistic Issues in Language Technology 6 (5).
Church K. and Mercer R. 1993. Introduction to the special issue on computational linguistics using large corpora. Computational Linguistics 19 (1), 124.
Bornmann L. and Mutz R. 2015. Growth rates of modern science: a bibliometric analysis based on the number of publications and cited references. Journal of the Association for Information Science and Technology 66 (11), 22152222.
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Natural Language Engineering
  • ISSN: 1351-3249
  • EISSN: 1469-8110
  • URL: /core/journals/natural-language-engineering
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