Path: utzoo!utgpu!utstat!jarvis.csri.toronto.edu!mailrus!cs.utexas.edu!samsung!caesar.cs.montana.edu!ogccse!orstcs!tgd From: tgd@orstcs.CS.ORST.EDU (Tom Dietterich) Newsgroups: comp.ai.neural-nets Subject: Re: NetTalk Summary: NETtalk has many purposes Message-ID: <13855@orstcs.CS.ORST.EDU> Date: 16 Nov 89 20:46:46 GMT References: <4539@arctic.nprdc.arpa> Organization: Oregon State University, Corvallis Lines: 32 wilkins@nprdc.arpa (Charles Wilkins) writes: It seems to me that people are missing the point regarding NetTalk. Terry is a biophysicist, and most of the other people involved are psychologists and linguists. It would be great if NetTalk outperformed every possible alternative method. But the main purpose of NetTalk is to model human performance. This is incorrect. Here is an excerpt from the original paper [1]: "Despite these similarities with human learning and memory, NETtalk is too simple to serve as a good model for the acquisition of reading skills in humans. The network attempts to accomplish in one stage what occurs in two stages in human development. Children learn to talk first, and only after representations for words and their meanings are well developed do they learn to read. [...] NETtalk can be used as a research tool to explore many aspects of network coding, scaling, and training in a domain that is far from trivial. [...]" The NETtalk task is an interesting learning task with potential practical applications. It is entirely appropriate to compare the training time and final performance of NETtalk with other learning algorithms. --Tom Dietterich [1] Parallel Networks that Learn to Pronounce English Text. T. Sejnowski and C. Rosenberg, Complex Systems 1: 145-68. 1987.