Received: from spooler by stryx.demon.co.uk (Mercury/32 v2.01); 16 Jul 98 22:52:31 +0000 Return-path: Received: from punt-11.mail.demon.net (194.217.242.34) by stryx.demon.co.uk (Mercury/32 v2.01); 16 Jul 98 22:52:27 +0000 Received: from punt-1.mail.demon.net by mailstore for ia@stryx.demon.co.uk id 900572281:10:06407:2; Thu, 16 Jul 98 06:58:01 GMT Received: from listserv.cuny.edu ([128.228.100.10]) by punt-1.mail.demon.net id aa1113334; 16 Jul 98 6:57 GMT Received: from listserv (listserv.cuny.edu) by listserv.cuny.edu (LSMTP for Windows NT v1.1b) with SMTP id <3.FFA0A9D1@listserv.cuny.edu>; Thu, 16 Jul 1998 2:58:21 -0400 Date: Thu, 16 Jul 1998 08:56:12 +0200 Reply-To: Lionel Bonnetier Sender: Lojban list From: Lionel Bonnetier Subject: [lojban] Thread starting on comp.ai.nat-lang X-To: Lojban ML To: Multiple recipients of list LOJBAN Message-ID: <900572279.1113334.0@listserv.cuny.edu> X-PMFLAGS: 33554560 7 1 Y041E9.CNM Content-Length: 1372 Lines: 34 -- quotation -- From: "Russell Harper" Newsgroups: comp.ai.nat-lang Subject: Spoken Language: Different Approach? Date: 13 Jul 1998 14:40:58 GMT I was wondering, instead of trying to work with existing languages, with all of their computer unfriendly characteristics, why not invent a spoken language that is ideal for research? E.g. only the most easily recognizable sounds are used, each word is readily identifiable, as is every sentence. Using either a fixed word order, or inflections, the subject, object and verb can be determined, the same for emotive and temporal aspects. >From this framework, it might be possible to research the higher level problems, like how to determine context, and when to use tricky things like humour, deception, sarcasm etc. Perhaps later, the research can be applied to natural languages. Anyway, I was wondering if any work has been done using this approach? Russell -- end quotation -- Lionel Bonnetier Ph: +33 478 601 862