High variability identification and discrimination training for Japanese speakers learning English /r/-/l/

High variability identification and discrimination training for Japanese speakers learning English /r/-/l/
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DOI:
10.1016/j.wocn.2017.11.002
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发表时间:
2018-01-01
影响因子:
1.9
通讯作者:
Iverson, Paul
Iverson, Paul
中科院分区:
人文科学1区
文献类型:
--
作者:
Shinohara, Yasuaki;Iverson, Paul

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相似文献

第二语言(L2)学习者可以在基于计算机的训练中受益于语音变化。此外,这种训练甚至对在日常生活中大量接触二语的二语学习者也是有效的,这表明训练任务有一些特定的东西有助于学习。本研究比较了传统的识别训练和辨别训练,以评估辨别训练是否有效,以及不同类型的集中注意(即分类与知觉差异)是否可以结合起来提供更大的学习增长。对成年日语使用者进行了10次识别和辨别训练,包括识别、听觉辨别、类别辨别和/r/-/l/发音的前/中/后测试。结果表明,识别和辨别训练都以类似的方式提高了日语使用者对英语/r/-/l/的感知和产生的准确性,但两种训练方法结合使用几乎没有额外的好处。因此,识别和辨别训练在第二语言学习者中具有相似的效果,只要这两种训练方法都包含高可变性。(C) 2017年作者。Elsevier Ltd.出版。这是一篇基于CC BY-NC-ND许可(http://creativecommons.org/licenses/by-nc-nd/4.0/)的开放获取文章。
Second-language (L2) learners can benefit from exposure to phonetically variable speech during computer-based training. Moreover, this training can be effective even for L2 learners who have extensive exposure to their L2 in daily life, suggesting that there is something specific about the training task that aids learning. The present study compared traditional identification training with discrimination training to evaluate whether discrimination training could be effective, and whether different types of focused attention (i.e., on categorization vs. perceptual differences) could combine to provide a greater increase in learning. Adult Japanese speakers were given 10 sessions of identification and discrimination training, with pre/mid/post tests of identification, auditory discrimination, category discrimination, and /r/-/l/ production. The results demonstrated that both identification and discrimination training increased accuracy of Japanese speakers' perception and production of English /r/-/l/ in similar ways, but that there was little added benefit to using the two training methods in combination. It thus appears that identification and discrimination training have similar effects in second-language learners, as long as both training methods incorporate high variability. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).