Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Previous experimental psycholinguistic studies suggested that the probabilistic phonotactics information might likely to hint the locations of word boundaries in continuous speech and hence posed an interesting solution to the empirical question on how we recognize/segment individual spoken word in speech. We investigated this issue by using Cantonese language as a testing case in the present study. A word-spotting task was used in which listeners were instructed to spot any Cantonese word from a series of nonsense sound sequences. We found that it was easier for the native Cantonese listeners to spot the target word in the nonsense sound sequences with high transitional probability phoneme combinations than those with low transitional probability phoneme combinations. These results concluded that native Cantonese listeners did make use of the transitional probability information to recognize the spoken word in speech.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/s10936-016-9428-0 | DOI Listing |
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