Learning at a distance I. Statistical learning of non-adjacent dependencies

@article{citeulike:1366465, abstract = {In earlier work we have shown that adults, young children, and infants are capable of computing transitional probabilities among adjacent syllables in rapidly presented streams of speech, and of using these statistics to group adjacent syllables into word-like units. In the present experiments we ask whether adult learners are also capable of such computations when the only available patterns occur in non-adjacent elements. In the first experiment, we present streams of speech in which precisely the same kinds of syllable regularities occur as in our previous studies, except that the patterned relations among syllables occur between non-adjacent syllables (with an intervening syllable that is unrelated). Under these circumstances we do not obtain our previous results: learners are quite poor at acquiring regular relations among non-adjacent syllables, even when the patterns are objectively quite simple. In subsequent experiments we show that learners are, in contrast, quite capable of acquiring patterned relations among non-adjacent segments--both non-adjacent consonants (with an intervening vocalic segment that is unrelated) and non-adjacent vowels (with an intervening consonantal segment that is unrelated). Finally, we discuss why human learners display these strong differences in learning differing types of non-adjacent regularities, and we conclude by suggesting that these contrasts in learnability may account for why human languages display non-adjacent regularities of one type much more widely than non-adjacent regularities of the other type.}, author = {Newport, Elissa L. and Aslin, Richard N. }, citeulike-article-id = {1366465}, doi = {http://dx.doi.org/10.1016/S0010-0285(03)00128-2}, journal = {Cognitive Psychology}, keywords = {comps, learning, nonadjacent\_dependencies, statistical\_learning}, month = {March}, number = {2}, pages = {127--162}, posted-at = {2007-06-05 23:11:11}, priority = {5}, title = {Learning at a distance I. Statistical learning of non-adjacent dependencies}, url = {http://dx.doi.org/10.1016/S0010-0285(03)00128-2}, volume = {48}, year = {2004} }

TY - JOUR ID - citeulike:1366465 L3 - citeulike-article-id:1366465 TI - Learning at a distance I. Statistical learning of non-adjacent dependencies JF - Cognitive Psychology VL - 48 IS - 2 SP - 127 EP - 162 N2 - In earlier work we have shown that adults, young children, and infants are capable of computing transitional probabilities among adjacent syllables in rapidly presented streams of speech, and of using these statistics to group adjacent syllables into word-like units. In the present experiments we ask whether adult learners are also capable of such computations when the only available patterns occur in non-adjacent elements. In the first experiment, we present streams of speech in which precisely the same kinds of syllable regularities occur as in our previous studies, except that the patterned relations among syllables occur between non-adjacent syllables (with an intervening syllable that is unrelated). Under these circumstances we do not obtain our previous results: learners are quite poor at acquiring regular relations among non-adjacent syllables, even when the patterns are objectively quite simple. In subsequent experiments we show that learners are, in contrast, quite capable of acquiring patterned relations among non-adjacent segments--both non-adjacent consonants (with an intervening vocalic segment that is unrelated) and non-adjacent vowels (with an intervening consonantal segment that is unrelated). Finally, we discuss why human learners display these strong differences in learning differing types of non-adjacent regularities, and we conclude by suggesting that these contrasts in learnability may account for why human languages display non-adjacent regularities of one type much more widely than non-adjacent regularities of the other type. KW - comps KW - learning KW - nonadjacent_dependencies KW - statistical_learning AU - Newport, Elissa AU - Aslin, Richard PY - 2004/03// UR - http://dx.doi.org/10.1016/S0010-0285(03)00128-2 ER -