Path: utzoo!attcan!uunet!samsung!usc!ucsd!ucbvax!cogsci.berkeley.edu!edwards From: edwards@cogsci.berkeley.edu (Jane Edwards) Newsgroups: comp.ai Subject: Re: Early Language Learning & Ancient Language Summary: practical research strategy Message-ID: <36581@ucbvax.BERKELEY.EDU> Date: 28 May 90 22:15:29 GMT References: <1990May25.142052.16989@athena.mit.edu> <7898@uhccux.uhcc.Hawaii.Edu> <1990May28.184332.25927@athena.mit.edu> Sender: usenet@ucbvax.BERKELEY.EDU Reply-To: edwards@cogsci.berkeley.edu (Jane Edwards) Organization: University of California, Berkeley Lines: 54 In article <1990May28.184332.25927@athena.mit.edu> ccimino@hstbme.mit.edu.UUCP (c cimino) writes: >The comment about the difficulty of proving negative results is well taken. >The example about cats raised in darkness illustrates that at least one >example exists to demonstrate the brain's non-plasticity, as much as people >would like to believe they can trancend their limits. Ignoring for the moment the ideological stand, there is a purely practical matter of which assumption is likely to generate the most careful scientific inquiry. Just because there may be developmental constraints on plasticity in the visual system doesn't mean the same is true of other capabilities, especially not those which are known to be more diffusely represented, i.e., less strictly regionalized. (Note that speech recognition and production involves more than just the mechanical speech centers.) It seems almost mystical and far too easy scientifically to assume that just because there are some developmental constraints in one system there must necessarily be the same kinds of constraints in others, especially when the domains and tasks are so different. Careful empirical work is needed, while keeping an open mind on what is to be found until the data are actually in. Concerning the differences in domains and tasks, a particularly important issue relevant to the r/l discussion, in my opinion, is the fact that the speech sounds which we categorize when listening to speech are not the same sounds from word to word nor from speaker to speaker, but rather involve a constant re-calibration with reference to the context (e.g., word) in which they are embedded and the size and shape of the vocal tract of the person producing them. Pretty amazing process. This process is not isomorphic with such classification tasks as identifying vertical vs. horizontal lines, or other physically definable visual stimuli. Adjustments and calibrations are also needed in the latter, but without the necessity of engaging language understanding mechanisms relating to semantics, pragmatics, possible alternatives in the lexicons, etc., i.e., aspects of processing which seem likely to be more diffusely represented in the brain and hence not as vulnerable to localized limits on plasticity. The necessary research has not yet been done to substantiate the claims one hears that adults are biological unable to acquire non-native phonologies, so it seems to me important to keep the issue open to encourage the type of rigorous research which is needed, namely the type which pushes language learners to their limits rather than assuming in advance that they are biologically incapable. This would involve such things as bombarding them with native speaker input (rather than the sizeable amount of non-native input they get from classmates in foreign language courses), under high-motivation circumstances (presumably using people who are not timid about leaving behind the hallmarks of their cultural identity while speaking the foreign language, or of feeling "silly" when making all of these new sounds which are not yet habitual to them), and, finally, monitoring separately their ability to *distinguish* the range of variation associated with an r vs. an l (or whatever sounds are relevant), from their ability to *produce* them in their own speech. Until this is done, it seems more practical in the long run in terms of progress in our understanding to leave the issue open and avoid a stance of premature biological determinism. -Jane Edwards (edwards@cogsci.berkeley.edu)