Corpus-based research on English word recognition rates in primary school and word selection strategy

2017 ◽  
Vol 18 (3) ◽  
pp. 362-372 ◽  
Author(s):  
Wen-yan Xiao ◽  
Ming-wen Wang ◽  
Zhen Weng ◽  
Li-lin Zhang ◽  
Jia-li Zuo
Keyword(s):  
Word Recognition ◽  
Primary School ◽  
English Word ◽  
Selection Strategy ◽  
Word Selection

Classroom Noise and Children Learning Through a Second Language

2005 ◽  
Vol 36 (3) ◽  
pp. 219-229 ◽  
Author(s):  
Peggy Nelson ◽  
Kathryn Kohnert ◽  
Sabina Sabur ◽  
Daniel Shaw
Keyword(s):  
Second Language ◽  
Word Recognition ◽  
Signal To Noise Ratio ◽  
Recognition Performance ◽  
Recognition Task ◽  
English Word ◽  
Noise Condition ◽  
English Only ◽  
Task Behavior ◽  
The Impact

Purpose: Two studies were conducted to investigate the effects of classroom noise on attention and speech perception in native Spanish-speaking second graders learning English as their second language (L2) as compared to English-only-speaking (EO) peers. Method: Study 1 measured children’s on-task behavior during instructional activities with and without soundfield amplification. Study 2 measured the effects of noise (+10 dB signal-to-noise ratio) using an experimental English word recognition task. Results: Findings from Study 1 revealed no significant condition (pre/postamplification) or group differences in observations in on-task performance. Main findings from Study 2 were that word recognition performance declined significantly for both L2 and EO groups in the noise condition; however, the impact was disproportionately greater for the L2 group. Clinical Implications: Children learning in their L2 appear to be at a distinct disadvantage when listening in rooms with typical noise and reverberation. Speech-language pathologists and audiologists should collaborate to inform teachers, help reduce classroom noise, increase signal levels, and improve access to spoken language for L2 learners.

scholarly journals Recognition times for 62 thousand English words: Data from the English Crowdsourcing Project

2019 ◽  
Author(s):  
Marc Brysbaert ◽  
Emmanuel Keuleers ◽  
Paweł Mandera
Keyword(s):  
Word Recognition ◽  
Response Times ◽  
Native English Speakers ◽  
English Word ◽  
English Speakers ◽  
Vocabulary Test ◽  
Response Latencies ◽  
Virtual Experiments

We present a new dataset of English word recognition times for a total of 62 thousand words, called the English Crowdsourcing Project. The data were collected via an internet vocabulary test, in which more than one million people participated. The present dataset is limited to native English speakers. Participants were asked to indicate which words they knew. Their response times were registered, although at no point were the participants asked to respond as fast as possible. Still, the response times correlate around .75 with the response times of the English Lexicon Project for the shared words. Also results of virtual experiments indicate that the new response times are a valid addition to the English Lexicon Project. This not only means that we have useful response times for some 35 thousand extra words, but we now also have data on differences in response latencies as a functionof education and age.

scholarly journals Modelling the relationship of accurate and fluent word recognition in primary school

2019 ◽  
Vol 76 ◽  
pp. 101779 ◽  
Author(s):  
Panagiotis Karageorgos ◽  
Bettina Müller ◽  
Tobias Richter
Keyword(s):  
Word Recognition ◽  
Primary School ◽  
Relationship Of ◽  
The Relationship
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