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How to determine current speaker?

Ann Smith
2005-02-03
2013-04-16
  • Ann Smith

    Ann Smith - 2005-02-03

    I have a blind computer science student who has defined a problem that he,personally, has with screen readers. He is currently taking my undergraduate computer science research course and would like to tackle a small piece of this problem for his research project.

    The problem is that he would like the novels that he reads by way of his screen reader to differentiate between various speakers in a way that is obvious to him (for instance the change of voice). We understand how to do the backend of this process -- i.e. marking up the text so that the screen reader will change.

    My problem is that I don't know how to advise this student as to how much or little to take on in terms of the text language processing. Would you fill me in on what part of this process he may be able to do with existing NLP tools. The problem is to be able to discern, with some degree of certainly, who is currently speaking as part of a dialouge.

    Any help would be GREATLY appreciated!

    Thanks,
    Ann from Saint Mary's University

     
    • Thomas Morton

      Thomas Morton - 2005-02-05

      Hi Ann,
         My experience in this area is somewhat limited and revolves around trying to identify speakers for quoted speech in newswire text.  The main goal of this work was to resolve the "I" pronouns to these speakers but once you know the quote extent and the speaker then it's pretty straight forward.  In that context it wasn't too difficult.  The main issues are that the quotes can proceed the speaker, speaker continuation -- where the speaker isn't locally identified but is the same as a previous quote -- is pretty common and the editorial convention for quotes in that case are a little odd.  In some newspapers a continuation doesn't have a close quote.  You'll also have the issue of resolving pronouns for the "he said" cases.  Nested quotes can be tricky and you may need to determine between real quotes and "special" quotes.

      I think the majority of cases will be easy and the strange cases (like those below) have some standard conventions as well.  You could probably do it right for most cases pretty easily and will probably never get them all (pretty much like every other NLP task).  You could probably get pretty far with specific rules for finding the quote extents, a good list a verbs-of-saying, a pos-tagger for "special" quotes (these tend not have verbs) and a very simple pronoun resolution sceme .  Hope this helps...Tom

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      • Ann Smith

        Ann Smith - 2005-02-07

        Thanks for the help Tom!

         

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