G'day,<br><br>This may be overkill, bu you can parse text with a parser such as the ERG (<a href="http://erg.delph-in.net/logon">http://erg.delph-in.net/logon</a>) and then passive verbs will be marked as the first argument of parg_d (ARG1) in the semantics. Alternatively, you can see if the verb went through a passive lexical rule (v_pas_*lr) in the parse tree (you can see this online by hovering over the second V node above the verb.<br>
<br>The parser used here (PET) and the grammar (ERG) are both available (linked from the demo page) with the full source.<br><br><a href="http://wiki.delph-in.net/moin/PetTop">http://wiki.delph-in.net/moin/PetTop</a><br>
<a href="http://www.delph-in.net/erg/">http://www.delph-in.net/erg/</a><br>
<br><div class="gmail_quote">On 20 September 2011 05:19, iain <span dir="ltr"><<a href="mailto:iain@idcl.co.uk">iain@idcl.co.uk</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
<div link="blue" vlink="purple" lang="EN-GB"><div><p class="MsoNormal">Can anyone point me to resources on active vs. passive voice detection?<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">
There seem to be simple patterns which would detect many passives (noun – be - past participle or something like that), but I’m wondering if there’s any work done (or better yet source code available!) on more general detection?<u></u><u></u></p>
<p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Thanks<u></u><u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal"><u></u> <u></u></p><p class="MsoNormal">Iain<u></u><u></u></p><p class="MsoNormal">
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<br></blockquote></div><br><br clear="all"><br>-- <br>Francis Bond <<a href="http://www3.ntu.edu.sg/home/fcbond/">http://www3.ntu.edu.sg/home/fcbond/</a>><br>Division of Linguistics and Multilingual Studies<br>Nanyang Technological University<br>