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Personalized Text Formatting for E-mail Messages

  • Masaki Murata
  • Tomohiro Ohno
  • Shigeki Matsubara
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)

Abstract

E-mail systems are common communication tools, and it is desirable that e-mailmessages are written readably for recipients. One of techniques to write readable e-mail messages is to insert linefeeds and blank lines appropriately. However, linefeeds and blank lines in incoming e-mails are not always inserted at positions where recipients feel readable. If linefeeds and blank lines are inserted automatically at proper positions, readability of e-mail texts are improved and recipients can read e-mail texts efficiently. This paper proposes a method for text formatting of email texts by inserting linefeeds and blank lines into incoming e-mails at positions where recipients feel readable.

Keywords

Line Length Text Format Maximum Entropy Method Learning Data Input Sentence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Fujita, E.: Mail bunsyoryoku no kihon (Fundamentals of a writing ability of e-mail). Nippon Jitsugyo Publishing Co., Ltd. (2010) (in Japanese)Google Scholar
  2. 2.
    Ueda, M., Hosoda, S.: Tyosoku master E-mail, Rirekisyo Entry sheet Seikou Jitureisyu (Ultrahigh-eary master Example of Success of E-mail, Resume, Entry Sheet). Tahahashi Shoten Co., Ltd. (2009) (in Japanese)Google Scholar
  3. 3.
    Ando, S.: E-mail handbook. Kyoritsu Shuppan Co., Ltd. (1998) (in Japanese)Google Scholar
  4. 4.
    Ohno, T., Murata, M., Matsubara, S.: Linefeed Insertion into Japanese Spoken Monologue for Captioning. In: Proceedings of Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, pp. 531–539 (2009)Google Scholar
  5. 5.
    Kudo, T., Yamamoto, K., Matsumoto, Y.: Applying Conditional Random Fields to Japanese Morphological Analysis. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 230–237 (2004)Google Scholar
  6. 6.
    Kudo, T., Matsumoto, Y.: Japanese dependency analysis using cascaded chunking. In: Proceedings of 6th Conference on Computational Natural Language Learning, pp. 63–69 (2002)Google Scholar
  7. 7.
    Kashioka, H., Maruyama, T.: Segmentation of semantic units in Japanese monologues. In: Proceedings of International Conference on Speech Language Technology and Oriental, COCOSDA, pp. 87–92 (2004)Google Scholar
  8. 8.
    Le, Z.: Maximum entropy modeling toolkit for python and c++ (2008), http://homepages.inf.ed.ac.uk/s0450736/maxenttoolkit.html (online; accessed March 1, 2008)

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Masaki Murata
    • 1
  • Tomohiro Ohno
    • 2
  • Shigeki Matsubara
    • 1
  1. 1.Graduate School of Information ScienceNagoya UniversityNagoyaJapan
  2. 2.Information Technology CenterNagoya UniversityNagoyaJapan

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