Return-Path: X-Sender: arosta@uclan.ac.uk X-Apparently-To: lojban@yahoogroups.com Received: (EGP: mail-8_2_6_5); 25 Mar 2003 20:27:17 -0000 Received: (qmail 78353 invoked from network); 25 Mar 2003 20:27:17 -0000 Received: from unknown (66.218.66.216) by m1.grp.scd.yahoo.com with QMQP; 25 Mar 2003 20:27:17 -0000 Received: from unknown (HELO com1.uclan.ac.uk) (193.61.255.3) by mta1.grp.scd.yahoo.com with SMTP; 25 Mar 2003 20:27:17 -0000 Received: from gwise-gw1.uclan.ac.uk by com1.uclan.ac.uk with SMTP (Mailer); Tue, 25 Mar 2003 19:50:18 +0000 Received: from DI1-Message_Server by gwise-gw1.uclan.ac.uk with Novell_GroupWise; Tue, 25 Mar 2003 20:29:08 +0000 Message-Id: X-Mailer: Novell GroupWise 5.5.2 Date: Tue, 25 Mar 2003 20:28:51 +0000 To: cowan Cc: cowan , jjllambias , lojban Subject: Re: [lojban] Re: ancient clicks Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: quoted-printable Content-Disposition: inline From: And Rosta X-Yahoo-Group-Post: member; u=810630 X-Yahoo-Profile: andjamin X-Yahoo-Message-Num: 19096 Content-Length: 1016 Lines: 30 John: #And Rosta scripsit: #> John: #> #Jorge Llambias scripsit: #> #> If {tcomoluNmas} is marked as having a different pronunciation #> #> than {tcomolunmas}, I don't see how they can still be called #> #> allophones. #> # #> #Because there are no minimal pairs in which [n] vs. [N] makes the #> #difference. #>=20 #> {tcomoluNmas} and {tcomolunmas} would be such a pair. # #Only if we say they are distinct words, and we don't say that. The #allophony creates allolexy, or vice versa. They would be distinct words in the sense of being distinct targets in production and recognition, even though they have the same=20 semantic and grammatical properties. That is, distinct phonological words, but not distinct lexemes. And phonemic distinctions are those sufficient to create distinct phonological words. That would make n & N contrastive, even if Lojban stipulated that they could never signal a contrast between distinct lexemes. I can't think of any natural language analogues of this. --And.