Skip to main content
Log in

Emily M. Bender: Linguistic fundamentals for natural language processing: 100 essentials from morphology and syntax

Morgan-Claypool, San Rafael, CA, USA, 2013, xviii + 166 pp

  • Book review
  • Published:
Machine Translation

This is a preview of subscription content, log in via an institution to check access.

Access this article

Notes

  1. For a list of errata, see: http://xixona.dlsi.ua.es/~fran/100_fundamentals/errata.html.

References

  • Manning CD (2011) Part-of-speech tagging from 97% to 100%: is it time for some linguistics? In: Gelbukh A (ed) Computational linguistics and intelligent text processing, 12th international conference, CICLing 2011, proceedings, part I. Lecture notes in computer science, vol 6608, pp 171–189

  • Evans N, Levinson S (2009) The myth of language universals: language diversity and its importance for cognitive science. Behav Brain Sci 32:429–492

    Article  Google Scholar 

  • Le Nagard R, Koehn P (2010) Aiding pronoun translation with co-reference resolution. In: Proceedings of the 5th Workshop on Statistical Machine Translation, pp 252–261

  • Shen L, Xu J, Weischedel R (2010) String-to-dependency statistical machine translation. Comput Linguistics 36(4):649–671

    Article  Google Scholar 

  • Streiter O, Scannell K, Stuflesser M (2006) Implementing NLP projects for noncentral languages: instructions for funding bodies, strategies for developers. Mach Transl 20(4):267–289

    Article  Google Scholar 

  • Trask L, Mayblin B (2005) Introducing linguistics: a graphic guide. Icon books, UK

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francis Morton Tyers.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tyers, F.M. Emily M. Bender: Linguistic fundamentals for natural language processing: 100 essentials from morphology and syntax. Machine Translation 28, 65–68 (2014). https://doi.org/10.1007/s10590-014-9149-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue date:

  • DOI: https://doi.org/10.1007/s10590-014-9149-9