The Pursuit of Word Meanings. Stevens, J. S., Gleitman, L. R., Trueswell, J. C., & Yang, C. Cognitive Science, 41(S4):638-676, 2017. doi abstract bibtex Abstract We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed Pursuit, uses an associative learning mechanism to estimate word-referent probability but pursues and tests the best referent-meaning at any given time. Pursuit is found to perform as well as global models under many conditions extracted from naturalistic corpora of parent-child interactions, even though the model maintains far less information than global models. Moreover, Pursuit is found to best capture human experimental findings from several relevant cross-situational word-learning experiments, including those of Yu and Smith (), the paradigm example of a finding believed to support fully global cross-situational models. Implications and limitations of these results are discussed, most notably that the model characterizes only the earliest stages of word learning, when reliance on the co-occurring referent world is at its greatest.
@Article{Stevens2017,
author = {Stevens, Jon Scott and Gleitman, Lila R. and Trueswell, John C. and Yang, Charles},
title = {The Pursuit of Word Meanings},
journal = {Cognitive Science},
year = {2017},
volume = {41},
number = {S4},
pages = {638-676},
abstract = {Abstract We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed Pursuit, uses an associative learning mechanism to estimate word-referent probability but pursues and tests the best referent-meaning at any given time. Pursuit is found to perform as well as global models under many conditions extracted from naturalistic corpora of parent-child interactions, even though the model maintains far less information than global models. Moreover, Pursuit is found to best capture human experimental findings from several relevant cross-situational word-learning experiments, including those of Yu and Smith (), the paradigm example of a finding believed to support fully global cross-situational models. Implications and limitations of these results are discussed, most notably that the model characterizes only the earliest stages of word learning, when reliance on the co-occurring referent world is at its greatest.},
doi = {10.1111/cogs.12416},
eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12416},
}
Downloads: 0
{"_id":"EGwooCPvrQy7g58QE","bibbaseid":"stevens-gleitman-trueswell-yang-thepursuitofwordmeanings-2017","author_short":["Stevens, J. S.","Gleitman, L. R.","Trueswell, J. C.","Yang, C."],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Stevens"],"firstnames":["Jon","Scott"],"suffixes":[]},{"propositions":[],"lastnames":["Gleitman"],"firstnames":["Lila","R."],"suffixes":[]},{"propositions":[],"lastnames":["Trueswell"],"firstnames":["John","C."],"suffixes":[]},{"propositions":[],"lastnames":["Yang"],"firstnames":["Charles"],"suffixes":[]}],"title":"The Pursuit of Word Meanings","journal":"Cognitive Science","year":"2017","volume":"41","number":"S4","pages":"638-676","abstract":"Abstract We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed Pursuit, uses an associative learning mechanism to estimate word-referent probability but pursues and tests the best referent-meaning at any given time. Pursuit is found to perform as well as global models under many conditions extracted from naturalistic corpora of parent-child interactions, even though the model maintains far less information than global models. Moreover, Pursuit is found to best capture human experimental findings from several relevant cross-situational word-learning experiments, including those of Yu and Smith (), the paradigm example of a finding believed to support fully global cross-situational models. Implications and limitations of these results are discussed, most notably that the model characterizes only the earliest stages of word learning, when reliance on the co-occurring referent world is at its greatest.","doi":"10.1111/cogs.12416","eprint":"https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12416","bibtex":"@Article{Stevens2017,\n author = {Stevens, Jon Scott and Gleitman, Lila R. and Trueswell, John C. and Yang, Charles},\n title = {The Pursuit of Word Meanings},\n journal = {Cognitive Science},\n year = {2017},\n volume = {41},\n number = {S4},\n pages = {638-676},\n abstract = {Abstract We evaluate here the performance of four models of cross-situational word learning: two global models, which extract and retain multiple referential alternatives from each word occurrence; and two local models, which extract just a single referent from each occurrence. One of these local models, dubbed Pursuit, uses an associative learning mechanism to estimate word-referent probability but pursues and tests the best referent-meaning at any given time. Pursuit is found to perform as well as global models under many conditions extracted from naturalistic corpora of parent-child interactions, even though the model maintains far less information than global models. Moreover, Pursuit is found to best capture human experimental findings from several relevant cross-situational word-learning experiments, including those of Yu and Smith (), the paradigm example of a finding believed to support fully global cross-situational models. Implications and limitations of these results are discussed, most notably that the model characterizes only the earliest stages of word learning, when reliance on the co-occurring referent world is at its greatest.},\n doi = {10.1111/cogs.12416},\n eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12416},\n}\n\n","author_short":["Stevens, J. S.","Gleitman, L. R.","Trueswell, J. C.","Yang, C."],"key":"Stevens2017","id":"Stevens2017","bibbaseid":"stevens-gleitman-trueswell-yang-thepursuitofwordmeanings-2017","role":"author","urls":{},"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"http://endress.org/publications/ansgar.bib","dataSources":["xPGxHAeh3vZpx4yyE","TXa55dQbNoWnaGmMq"],"keywords":[],"search_terms":["pursuit","word","meanings","stevens","gleitman","trueswell","yang"],"title":"The Pursuit of Word Meanings","year":2017}