Why young children are able to learn a language so rapidly


	Why young children are able to learn a language so rapidly

rj3sp

2-6-2008 5:02 AM

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science

rj3sp says:

IU cognitive science experts Linda Smith and Chen Yu are investigating whether the human brain accumulates large amounts of data and handles the data processing automatically. They are studying whether this helps to explain the ease by which 2- and 3-year-olds can learn one word at a time.

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<div style="margin: 12px 0px; font-family: arial; color: #333333; background: #ffffff; border: solid 4px #e5e5e5; width: 100%; clear: left;"><div class="CM_CTB_Content_Wrap" style="margin: 0px; padding: 0px;background-color: #ffffff;"><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content.clipmarks.com/blog_embed/5021602f-5a89-47b7-a03d-7e7df7c3145a/FAAE2979-B809-41E7-BAB5-2D35CB9A4340/" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://www.sciencedaily.com/releases/2008/01/080129215316.htm" href="http://www.sciencedaily.com/releases/2008/01/080129215316.htm" style="font-size: 11px;">www.sciencedaily.com</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.sciencedaily.com/releases/2008/01/080129215316.htm"><div align="center"><img src="http://content7.clipmarks.com/blog_cache/www.sciencedaily.com/img/DEEE6801-7495-41EF-9487-1803AD5AB79E" alt="ScienceDaily: Your source for the latest research news 
and science breakthroughs -- updated daily" /></div></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.sciencedaily.com/releases/2008/01/080129215316.htm"><H1 class="story">New Thoughts On Language Acquisition: Toddlers As Data Miners</H1></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.sciencedaily.com/releases/2008/01/080129215316.htm"><P id="first"><SPAN class="date">ScienceDaily (Feb. 4, 2008)</SPAN> — Indiana University researchers are studying a ground-breaking theory that young children are able to learn large groups of words rapidly by data-mining.</P></blockquote><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content8.clipmarks.com/images/clip-icon.gif" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://www.indiana.edu/~dll/research.html" href="http://www.indiana.edu/~dll/research.html" style="font-size: 11px;">www.indiana.edu</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.indiana.edu/~dll/research.html"><div align="center"><img src="http://content9.clipmarks.com/blog_cache/www.indiana.edu/img/27F035CB-55A5-433B-940A-B3EE5A4285B0" alt="" /></div></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.indiana.edu/~dll/research.html"><div align="center"><img src="http://content6.clipmarks.com/blog_cache/www.indiana.edu/img/909FE604-3159-4EDA-826A-DD44DEB1587F" alt="" /></div></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.indiana.edu/~dll/research.html"><div align="center"><img src="http://content7.clipmarks.com/blog_cache/www.indiana.edu/img/AF0F978C-1352-474C-A534-B20CE63ED5EC" alt="" /></div></blockquote><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content8.clipmarks.com/images/clip-icon.gif" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://newsinfo.iu.edu/news/page/normal/6382.html" href="http://newsinfo.iu.edu/news/page/normal/6382.html" style="font-size: 11px;">newsinfo.iu.edu</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://newsinfo.iu.edu/news/page/normal/6382.html"><P>The research began with the discovery that toddlers, when they begin to learn words, can simultaneously and rapidly learn many word-object pairings by internally computing complex statistics. The team will use advanced sensing equipment, such as an eye tracker, to study learning processes and to develop computational models and systems to understand this learning.
</P></blockquote><div style="border-bottom: solid 1px #dcdcdc; white-space: nowrap; margin-bottom: 8px; background-color: #eeeeee ;background-image: url(http://clipmarks.com/images/source-bg.gif); background-repeat: repeat-x; height: 24px; line-height: 24px; vertical-align: middle; padding-bottom: 4px; color: #666666; font-size: 10px;" ><a href="http://clipmarks.com/clip-to-blog/" title="see clips that are hot right now"><img src="http://content9.clipmarks.com/images/clip-icon.gif" alt="" width="19" height="19" border="0" style="vertical-align: middle; margin: 0px 4px; display: inline; border: none; float:none;" /></a>clipped from <a title="http://www.indiana.edu/~dll/research.html" href="http://www.indiana.edu/~dll/research.html" style="font-size: 11px;">www.indiana.edu</a></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.indiana.edu/~dll/research.html"><div align="center"><img src="http://content6.clipmarks.com/blog_cache/www.indiana.edu/img/850E152D-C469-4C9B-B7DD-7E02204D45F3" alt="" /></div></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.indiana.edu/~dll/research.html"><div align="center"><img src="http://content7.clipmarks.com/blog_cache/www.indiana.edu/img/E96474CE-F5D9-4806-AD8C-7BCD59394BD2" alt="" /></div></blockquote><div style="height: 2px; font-size: 2px; background: #dcdcdc; border-bottom: solid 1px #f5f5f5; margin: 2px 4px;"></div><blockquote style="text-align: left; padding: 0px 8px; margin: 4px 0px 8px 0px; background: transparent; border: none;" cite="http://www.indiana.edu/~dll/research.html">The main part of this work focuses on a unified model that is able 
              to make use of different kinds of social cues, such as joint attention 
              and prosody in maternal speech, in the statistical learning framework. 
              In a computational analysis of infant data, the quantitative results 
              of our unified model outperforms the purely statistical learning 
              method in computing word-meaning associations.</blockquote></div><div style="margin: 0px 6px 6px 4px;"><table style="font-size: 11px;border-spacing: 0px;padding: 0px;" cellpadding="0" cellspacing="0" width="100%"><tr><td style="background:transparent;border-width:0px;padding:0px;">&nbsp;</td><td align="right" style="background:transparent;border-width:0px;padding:0px;width:107px" width="107"><a href="http://clipmarks.com/share/FAAE2979-B809-41E7-BAB5-2D35CB9A4340/blog/" title="blog or email this clip"><img src="http://content8.clipmarks.com/images/c2b-foot.png" border="0" alt="blog it" width="107" height="17" style="border-width:0px;padding:0px;margin:0px;" /></a></td></tr></table></div></div>

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