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Neural Basis of Second Language Speech Learning – Past and Future: A Commentary on “The Neurocognitive Underpinnings of Second Language Processing: Knowledge Gains From the Past and Future Outlook” 第二语言言语学习的神经基础——过去与未来——评《第二语言加工的神经认知基础:过去与未来展望的知识收获》
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-25 DOI: 10.1111/lang.12600
Patrick C. M. Wong
<p>The state-of-the-art article by van Hell provided an excellent overview of the current state of the science in the neural and neurocognitive basis of second language (L2) processing and learning. While the target article devoted much effort to reviewing studies related to the syntactic and semantic components of language and to a lesser extent to the lexicon, it is important to also consider the phonetic and phonological components of language in L2 research. I have highlighted some of the findings in this area of research and discussed some potential new directions.</p><p>Successful (spoken) L2 learning includes extracting phonetic and phonological information from the speech stream. The issues raised by van Hell such as the critical period hypothesis, age of acquisition, proficiency, and individual differences have also been studied in the context of these components (e.g., Golestani & Zatorre, <span>2004</span>). This line of research often focused on individual differences and demonstrated that pretraining neural differences may forecast learning success at the group level (e.g., Sheppard et al., <span>2012</span>). Future studies can explore how individual differences in neural speech tracking of different chunk sizes (e.g., Ding et al., <span>2015</span>) may lead to differences in L2 learning outcomes.</p><p>To investigate individual differences, research must augment analytics that are designed for observing group-level performance by also using methods that are precise enough for making individual-level predictions. In research on first language acquisition (Wong et al., <span>2021</span>), machine learning techniques have been adopted to make predictions about individual learners’ learning outcomes with very promising prediction performance. The use of such techniques has begun in L2 learning as well (Feng et al., 2021). In addition to forecasting learning success, future research can also predict differences in response to different types of interventions, so that training can be altered before it even begins in order to optimize learning for every learner.</p><p>In addition to investigating learner-internal individual difference variables, as reviewed by van Hell (see Wong et al., <span>2022</span>, for potential genetic variables), L2 research has also examined how different learner-external variables (e.g., training methods such as explicit training) lead to better or worse outcomes as discussed in the target article. To inform pedagogical practice, research must also consider how subject-internal and subject-external variables interact. Some of this learner-by-training research has been conducted in phonetic and phonological learning as well. Different training methods can lead to different brain activities in foreign speech learning (Deng et al., <span>2018</span>). Methods that allow for more precise individual-level prediction such as machine learning, coupled with studies that investigate how different types of training
van Hell的这篇最先进的文章对第二语言(L2)处理和学习的神经和神经认知基础的科学现状进行了极好的概述。虽然目标文章花了很多精力来回顾与语言的句法和语义成分有关的研究,而较少涉及词汇,但在二语研究中考虑语言的语音和语音成分也很重要。我强调了这一研究领域的一些发现,并讨论了一些潜在的新方向。成功的(口语)第二语言学习包括从语音流中提取语音和语音信息。van Hell提出的关键时期假说、习得年龄、熟练程度和个体差异等问题也在这些组成部分的背景下进行了研究(例如,Golestani &Zatorre, 2004)。这方面的研究通常侧重于个体差异,并证明预训练神经差异可以预测群体层面的学习成功(例如,Sheppard等人,2012)。未来的研究可以探索不同块大小的神经语音跟踪的个体差异(例如,Ding et al., 2015)如何导致第二语言学习结果的差异。为了调查个体差异,研究必须通过使用足够精确的方法来进行个人层面的预测,从而增强为观察群体层面表现而设计的分析。在第一语言习得的研究中(Wong et al., 2021),已经采用机器学习技术对个体学习者的学习结果进行预测,预测效果非常好。在第二语言学习中也开始使用这些技术(Feng et al., 2021)。除了预测学习成功之外,未来的研究还可以预测对不同类型干预的反应差异,以便可以在训练开始之前进行改变,以优化每个学习者的学习。除了调查学习者内部的个体差异变量,如van Hell所述(见Wong等人,2022,潜在的遗传变量),L2研究还研究了不同的学习者外部变量(例如,训练方法,如显性训练)如何导致目标文章中讨论的更好或更差的结果。为了为教学实践提供信息,研究还必须考虑主体内部变量和主体外部变量如何相互作用。这种“通过训练学习”的研究也在语音和语音学习中进行。不同的训练方法会导致外语学习中不同的大脑活动(Deng et al., 2018)。允许更精确的个人层面预测(如机器学习)的方法,加上研究如何为不同的学习者规定不同类型的训练的研究,将最有可能实现个性化学习(Wong et al., 2017)。在她的文章中,van Hell还讨论了在第二语言学习中进行生态有效研究的重要性。从神经认知的角度来看,一个新的研究途径可能包括理解学习者和教师的大脑如何在自然互动中互动,包括研究涉及第二语言的对话中的大脑同步以及课堂上的第二语言学习。关于使用超扫描技术研究第一语言习得的文献不多,但数量在不断增长。这些研究通常调查父母与孩子的交流,父母以孩子为导向的语言说话。独立地,研究也开始检查教室中学生对学生和学生对教师的大脑相关性,同时检查多达12个大脑(Dikker et al., 2017)。这些研究在技术和神经理论方面的贡献可以推动第二语言研究在声音和语言其他组成部分的学习中更加生态有效。除了翻译方面的影响外,语音学和音系学在二语学习中的研究还可以揭示二语学习和加工的基本机制。口语语音和语音特征的一个重要特性是它们本质上是声学的,这就需要神经听觉系统对其进行处理。因此,对言语的神经基础的研究可以让研究人员了解中枢神经系统在声学和功能上如何处理复杂声音的基本原理。事实上,研究已经调查了二语中音乐和言语的相互作用,两者在声学和功能上都是复杂的。 虽然很多关于第二语言的研究都集中在皮层结构上,正如van Hell的目标文章所回顾的那样,对音乐和语言的研究还可以让研究人员研究皮层下神经中心的功能,比如下丘,这些神经中心在处理其他语言成分时可能不会参与。在过去的几十年里,第二语言学习领域以前所未有的规模扩张,不仅包括跨学科的行为研究,还包括神经科学领域的研究。研究人员现在对神经系统如何处理和学习两种或两种以上语言有了更多的了解。这篇评论的目的不是提供一个全面的回顾,而是强调一些已经在语音学和音韵学方面进行的研究,并讨论潜在的未来方向。通过开展针对个人水平预测、学习者与训练之间的互动、大脑与大脑之间的相关性的研究,以及对语言系统的整体研究,研究人员将在理解学习背后的基本机制方面达到新的高度。此外,这项研究将使研究人员在制定教学策略方面处于更有利的地位,以使所有学习者的学习最有效。
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引用次数: 1
A Growth Mindset for Understanding How Second Language Learning and Processing Shape the Brain: A Commentary on “The Neurocognitive Underpinnings of Second Language Processing: Knowledge Gains From the Past and Future Outlook” 理解第二语言学习和加工如何塑造大脑的成长心态——对“第二语言加工的神经认知基础:过去和未来展望的知识收获”的评论
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-25 DOI: 10.1111/lang.12593
Taomei Guo
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引用次数: 1
Whither Bilinguals, Natives, and Variability? A Commentary on “The Neurocognitive Underpinnings of Second Language Processing: Knowledge Gains From the Past and Future Outlook” 双语者、本地人和可变性去向何方?“第二语言加工的神经认知基础:从过去和未来展望中获得的知识”评论
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-25 DOI: 10.1111/lang.12597
David Birdsong
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引用次数: 1
Moving Second Language Processing Beyond an Isolationist View: A Commentary on “The Neurocognitive Underpinnings of Second Language Processing: Knowledge Gains From the Past and Future Outlook” 超越孤立论视野的第二语言加工——评《第二语言处理的神经认知基础:过去和未来的知识收获》
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-25 DOI: 10.1111/lang.12596
Jorge R. Valdés Kroff (he/him), Keng-Yu Lin (he/him)
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引用次数: 1
In Search of Variables Explaining Individual Differences in Second Language Learning and Processing: A Commentary on “The Neurocognitive Underpinnings of Second Language Processing: Knowledge Gains From the Past and Future Outlook” 寻找解释第二语言学习和加工个体差异的变量——评《第二语言加工的神经认知基础:过去和未来的知识收获》
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-25 DOI: 10.1111/lang.12595
Clara D. Martin, Antje Stoehr
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引用次数: 1
Merging the Neuroscience of Second Language Processing With Variability in Social Variables: A Commentary on “The Neurocognitive Underpinnings of Second Language Processing: Knowledge Gains From the Past and Future Outlook” 将第二语言加工的神经科学与社会变量的可变性相结合——评《第二语言加工的神经认知基础:从过去和未来展望中获得的知识》
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-25 DOI: 10.1111/lang.12594
Eleonora Rossi, Megan Nakamura
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引用次数: 1
The Neurocognitive Underpinnings of Second Language Processing: Knowledge Gains From the Past and Future Outlook 第二语言加工的神经认知基础:从过去和未来展望的知识收获
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-19 DOI: 10.1111/lang.12601
Janet G. van Hell

The past decades have seen an explosion of research using electrophysiological or neuroimaging techniques for studying the neurocognitive underpinnings of second language (L2) processing. Although this field has a shorter history than does research on language learning more generally, important insights into the neurocognitive basis of L2 processing have driven it to the center stage of language science. In this target article for Language Learning’s 75th Jubilee volume, I illustrate the field's impressive achievements by selectively reviewing electrophysiological and neuroimaging research on L2 processing and bilingual brain organization. I also review changing perspectives in the field (including individual difference and experience-based perspectives, neural network approaches, neuroplasticity, and L2-learning related neural changes) and identified challenges, promises, and future directions (revisit native-speaker benchmark, increase linguistic diversity, enhance ecological validity, intensify research on child L2 learners’ brain, adopt lifelong approach to L2 learning) that can lead to a better understanding of the neural underpinnings of L2 learning and processing.

在过去的几十年里,使用电生理学或神经成像技术来研究第二语言处理的神经认知基础的研究出现了爆炸式增长。尽管这一领域的历史比语言学习研究更普遍的历史要短,但对二语加工的神经认知基础的重要见解已将其推向语言科学的中心舞台。在《语言学习》第75期的目标文章中,我通过选择性地回顾关于第二语言处理和双语大脑组织的电生理和神经成像研究,说明了该领域令人印象深刻的成就。我还回顾了该领域不断变化的观点(包括个体差异和基于经验的观点、神经网络方法、神经可塑性和L2学习相关的神经变化),并确定了挑战、承诺和未来的方向(重新审视母语者基准、增加语言多样性、增强生态效度、加强对儿童L2学习者大脑的研究、采用终身学习方法来学习第二语言),可以更好地理解第二语言学习和加工的神经基础。
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引用次数: 0
The Role of Explicit Memory Across Second Language Syntactic Development: A Structural Priming Study 外显记忆在第二语言句法发展中的作用:结构启动研究
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-19 DOI: 10.1111/lang.12604
Marion Coumel, Merel Muylle, Katherine Messenger, Robert J. Hartsuiker

We tested whether second language (L2) learners rely more on explicit memory during structural priming at lower than at higher proficiency levels (Hartsuiker & Bernolet, 2017). We compared within-L2 priming with lexical overlap in 100 low and 100 high proficiency French L2 speakers under low versus high working memory load conditions induced with a letter series recall task presented between primes and targets. The high load condition would prevent explicit recall of primes during target production. Both groups primed more under low than high load. The effect of load was similar across groups, but exploratory analyses with proficiency as a continuous variable suggested that, with increasing proficiency, participants primed less under high load. We discuss how these findings support the idea that learners exploit explicit memory more during priming in early versus later stages of acquisition. Overall, this study showed that explicit memory influences syntactic processing across the L2 learning trajectory.

我们测试了第二语言(L2)学习者在较低水平的结构性引物中是否比在较高水平的结构性引物中更依赖于显性记忆(Hartsuiker & Bernolet, 2017)。我们比较了 100 名低水平和 100 名高水平法语第二语言学习者在低工作记忆负荷和高工作记忆负荷条件下的词汇重叠的第二语言内引物,并在引物和目标之间进行了字母系列回忆任务。高工作记忆负荷条件将阻止在目标词生成过程中对原词的明确回忆。两组学生在低负荷条件下的引物量都高于高负荷条件下的引物量。各组的负荷效应相似,但将熟练程度作为连续变量进行的探索性分析表明,随着熟练程度的提高,参与者在高负荷下的引物较少。我们讨论了这些发现是如何支持学习者在学习初期和后期的引物过程中更多地利用显性记忆这一观点的。总之,本研究表明,显性记忆影响着整个 L2 学习轨迹中的句法加工。
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引用次数: 0
Benefits of Testing and Production for Learning Turkish As a New Language 测试和制作对学习土耳其语这门新语言的好处
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-19 DOI: 10.1111/lang.12602
Maya C. Rose, Patricia J. Brooks, Arshia K. Lodhi, Angela Cortez

This study examined putative benefits of testing and production for learning new languages. Undergraduates (N = 156) were exposed to Turkish spoken dialogues under varying learning conditions (retrieval practice, comprehension, verbal repetition) in a computer-assisted language learning session. Participants completed pre- and posttests of number- and case-marking comprehension, a vocabulary test, and an explicit awareness questionnaire. Controlling for nonverbal ability and pretest scores, the retrieval-practice group performed highest overall. For number/case marking, the comprehension and retrieval-practice groups outperformed the verbal-repetition group, suggesting benefits of either recognition- or recall-based testing. For vocabulary, the verbal-repetition and retrieval-practice groups outperformed the comprehension group, indicating benefits of overt production. Case marking was easier to learn than number marking, suggesting advantages for learning word-final inflections. Explicit awareness correlated with comprehension accuracy, yet some participants demonstrated above-chance comprehension without showing awareness. Findings indicate the value of incorporating both practice tests and overt production in language pedagogy.

本研究探讨了测试和制作对学习新语言的益处。在计算机辅助语言学习课程中,大学生(156 人)在不同的学习条件(检索练习、理解、口头重复)下学习土耳其口语对话。参加者完成了数字和案例标记理解、词汇测试和显性意识问卷的前后测试。在不考虑非语言能力和前测分数的情况下,检索练习组的总成绩最高。在数字/例数标记方面,理解组和检索练习组的成绩优于口头复述组,这表明基于识别或回忆的测试都有好处。在词汇方面,口头复述组和检索练习组的成绩优于理解组,这表明公开制作的好处。大小写标记比数字标记更容易学习,这表明学习词尾转折有优势。显性意识与理解的准确性相关,但有些学员在没有显性意识的情况下也表现出了超常的理解能力。研究结果表明,在语言教学法中结合练习测试和公开制作是有价值的。
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引用次数: 0
Which Aspects of Visual Motivation Aid the Implicit Learning of Signs at First Exposure? 视觉动机的哪些方面有助于第一次接触迹象的内隐学习?
IF 4.4 1区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2023-07-18 DOI: 10.1111/lang.12587
Julia Hofweber, Lizzy Aumônier, Vikki Janke, Marianne Gullberg, Chloë Marshall

We investigated whether sign-naïve learners can infer and learn the meaning of signs after minimal exposure to continuous, naturalistic input in the form of a weather forecast in Swedish Sign Language. Participants were L1-English adults. Two experimental groups watched the forecast once (n = 40) or twice (n = 42); a control group did not (n = 42). Participants were then asked to assign meaning to 22 target signs. We explored predictors of meaning assignment with respect to item occurrence frequency and three facets of visual motivation: iconicity, transparency, and gesture similarity. Meaning assignment was enhanced by exposure and item frequency, thereby providing evidence for implicit language learning in a new modality, even under challenging naturalistic conditions. Accuracy was also contingent upon iconicity and transparency, but not upon gesture similarity. Meaning assignment at first exposure is thus visually motivated, although the overall low accuracy rates and further qualitative analyses suggest that visually motivated meaning assignment is not always successful.

我们研究了手语零基础的学习者是否能够在以瑞典手语天气预报为形式的连续、自然的输入中推断和学习手语的含义。参与者为母语为英语的成年人。两个实验组观看天气预报一次(n = 40)或两次(n = 42);对照组不观看(n = 42)。然后,参与者被要求对 22 个目标符号进行意义分配。我们根据项目出现频率和视觉动机的三个方面:标志性、透明度和手势相似性,探讨了意义分配的预测因素。即使在具有挑战性的自然条件下,意义分配也能通过接触和项目频率得到增强,从而为在新模式下的内隐语言学习提供了证据。准确性还取决于图标性和透明度,但与手势相似性无关。因此,第一次接触时的意义分配是由视觉驱动的,尽管总体准确率较低,而且进一步的定性分析表明,由视觉驱动的意义分配并不总是成功的。
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引用次数: 1
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Language Learning
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