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</o:shapelayout></xml><![endif]--></head><body lang=DE link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>Hi,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=EN-US>I personally don’t see why a scalar measure would necessarily be simplified. As far as I understand, it is not uncommon to compose scalar measures from multiple weighted features. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>As for mental representations of lexical units, I am skeptic that a category “foreignness” has a prominent place in them. Talking about “weirdness” still seems more reasonable to me because it doesn’t require conscious knowledge about word origin. On the other hand, the distinction between foreign and not-foreign units would be blurred even more. However, we are talking about different things here. I was trying to suggest ways for the identification of foreign words in text because this seemed to be relevant to the question of Sven Hartrumpf, who started this thread. If, on the contrary, the aim is to model mental processes (as proposed by John Sowa) or to predict pronunciation (Chris Brew), however, this cannot be achieved as easily. That’s obvious. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>I think that psycholinguistics today can model how lexical units are processed etc. As for pronunciation, this task would require a theory that accounts for individual, sociolinguistic and historical phenomena – the whole of language, more or less. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Best,<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Anne<o:p></o:p></span></p></div></body></html>