IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v57y2006i7p881-890.html
   My bibliography  Save this article

Written versus spoken queries: A qualitative and quantitative comparative analysis

Author

Listed:
  • Fabio Crestani
  • Heather Du

Abstract

The authors report on an experimental study on the differences between spoken and written queries. A set of written and spontaneous spoken queries are generated by users from written topics. These two sets of queries are compared in qualitative terms and in terms of their retrieval effectiveness. Written and spoken queries are compared in terms of length, duration, and part of speech. In addition, assuming perfect transcription of the spoken queries, written and spoken queries are compared in terms of their aptitude to describe relevant documents. The retrieval effectiveness of spoken and written queries is compared using three different information retrieval models. The results show that using speech to formulate one's information need provides a way to express it more naturally and encourages the formulation of longer queries. Despite that, longer spoken queries do not seem to significantly improve retrieval effectiveness compared with written queries.

Suggested Citation

  • Fabio Crestani & Heather Du, 2006. "Written versus spoken queries: A qualitative and quantitative comparative analysis," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(7), pages 881-890, May.
    • Handle: RePEc:bla:jamist:v:57:y:2006:i:7:p:881-890
    DOI: 10.1002/asi.20350
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20350
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.20350?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ning Sa & Xiaojun (Jenny) Yuan, 2022. "Improving the effectiveness of voice search systems through partial query modification," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1092-1105, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamist:v:57:y:2006:i:7:p:881-890. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.