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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='color:#1F497D'>We would also be interested in tools to detect active vs. passive voice, e.g. for opinion mining (‘A criticised B’, vs. ‘A was criticised by B’). <o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='color:#1F497D'>However, as we work on many different languages and not only on the default language, we would be particularly interested in tools and methods for detecting the voice *<b>without</b>* the use of parsers. <o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='color:#1F497D'>My question is thus: are there any shallow processing tools or patterns (for various languages) that can detect voice?<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='color:#1F497D'>Thanks a lot.<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='color:#1F497D'>Greetings,<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='color:#1F497D'>Ralf<o:p></o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><div><p class=MsoNormal><b><span lang=DE style='font-size:9.0pt;color:#4A442A;mso-fareast-language:EN-GB'>Ralf Steinberger</span></b><span lang=DE style='font-size:9.0pt;color:#4A442A;mso-fareast-language:EN-GB'><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:9.0pt;color:#4A442A;mso-fareast-language:EN-GB'>European Commission – Joint Research Centre (JRC)<o:p></o:p></span></p></div><p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p><div><div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0cm 0cm 0cm'><p class=MsoNormal><b><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif";mso-fareast-language:EN-GB'>From:</span></b><span lang=EN-US style='font-size:10.0pt;font-family:"Tahoma","sans-serif";mso-fareast-language:EN-GB'> corpora-bounces@uib.no [mailto:corpora-bounces@uib.no] <b>On Behalf Of </b>iain<br><b>Sent:</b> 19 September 2011 22:19<br><b>To:</b> Corpora List<br><b>Subject:</b> [Corpora-List] Active vs Passive voice<o:p></o:p></span></p></div></div><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Can anyone point me to resources on active vs. passive voice detection?<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></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?<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Thanks<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Iain<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='mso-fareast-language:EN-GB'><img width=307 height=95 id="Picture_x0020_1" src="cid:image001.gif@01CC7782.04AF4170" alt="Description: iain-downs-logo"><o:p></o:p></span></p><p class=MsoNormal><span style='font-size:8.0pt;mso-fareast-language:EN-GB'><o:p> </o:p></span></p><p class=MsoNormal><span style='mso-fareast-language:EN-GB'>01423 872988 - <a href="http://www.idcl.co.uk/">http://www.idcl.co.uk</a><o:p></o:p></span></p><p class=MsoNormal><span style='font-size:8.0pt;mso-fareast-language:EN-GB'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:8.0pt;mso-fareast-language:EN-GB'>Iain Downs Consulting Limited is registered in the UK with number 329446<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:8.0pt;mso-fareast-language:EN-GB'>at The Old Coachhouse, Rear Eastville Terrace, Harrogate HG1 4HJ<o:p></o:p></span></p><p class=MsoNormal><span style='mso-fareast-language:EN-GB'><o:p> </o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>