Studies in Second Language Acquisition最新文献

The present study investigated if/how individual differences in heritage language (HL) experience modulate gender agreement processing among Spanish heritage speakers (HSs). We reanalyzed the data from Luque and colleagues (2023), which reported an aggregate biphasic N400–P600. The present analysis revealed that sensitivity to morphological markedness was positively modulated by HL proficiency and exposure/use. Higher proficiency led to increased P600 across markedness conditions—the typical signature of L1-dominant processing—while increased Spanish exposure/use resulted in increased N400 for Default Errors—a signature attested only in HSs in this domain. Formal instruction led to increased N400 but reduced P600 for Feature Clash Errors. We interpret these results to suggest that the N400 reflects a morphophonological pattern-matching strategy with some HSs relying (more) on this mechanism as Spanish exposure and use increases. Markedness also modulated the relative engagement of pattern-matching (N400) versus automatic grammatical processing (P600), depending on the transparency/saliency of morphophonological patterns.

Selecting appropriate texts for second language (L2) learners is essential for effective education. However, current text difficulty models often inadequately classify materials for L2 learners by proficiency levels. This study addresses this deficiency by employing the Common European Framework of Reference for Languages (CEFR) as its foundational framework. A cohort of expert English-L2 educators classified 1,181 texts from the CommonLit Ease of Readability corpus into CEFR levels. A random forest model was then trained using 24 linguistic complexity features to predict the CEFR levels of English texts for L2 learners. The model achieved 62.6% exact-level accuracy across the six granular CEFR levels and 82.6% across the three overarching levels, outperforming a baseline model based on three existing readability formulas. Additionally, it identified shared and unique linguistic features across different CEFR levels, highlighting the necessity to adjust text classification models to accommodate the distinct linguistic profiles of low- and high-proficiency readers.

Word processing during reading is known to be influenced by lexical features, especially word length, frequency, and predictability. This study examined the relative importance of these features in word processing during second language (L2) English reading. We used data from an eye-tracking corpus and applied a machine-learning approach to model word-level eye-tracking measures and identify key predictors. Predictors comprised several lexical features, including length, frequency, and predictability (e.g., surprisal). Additionally, sentence, passage, and reader characteristics were considered for comparison. The analysis found that word length was the most important variable across several eye-tracking measures. However, for certain measures, word frequency and predictability were more important than length, and in some cases, reader characteristics such as proficiency were more significant than lexical features. These findings highlight the complexity of word processing during reading, the shared processes between first language (L1) and L2 reading, and their potential to refine models of eye-movement control.

A large body of literature has examined perceptual training, especially using the high variability phonetic training (HVPT) technique, where multiple talkers are included in the training set to help learners develop more accurate additional (second) language (L2) speech sound categories. Yet, most experimental studies focus on relatively short-term gains using a pre-post–delayed design, providing limited insight into longer-term training effects and how the timing of training might regulate its effectiveness. To begin addressing this gap, we implemented HVPT at two contextually relevant windows of opportunity during a university study program. Thirty-six first (native) language Spanish students participated in this study. Students were randomly assigned to two groups. One group (G1) received training at the beginning of their study program, which coincided with the onset of intensive L2 exposure; the second group (G2) received training in the second year, while enrolled in an English phonetics and phonology course. Both groups completed four HVPT sessions (identification tasks) focusing on a set of challenging L2 English vowels (/iː ɪ æ ʌ ɜː e ɒ ɔː/). Perception was measured at four testing times (in years 1 and 2, before and after HVPT) with identification tasks. The results showed that HVPT had a positive impact regardless of the timing of its implementation. However, students also improved outside of training, which suggests that intensive language study can facilitate some perceptual learning.

Acoustic variability refers to variations in speech that do not alter linguistic content. Previous studies have demonstrated that acoustic variability improves second language (L2) word learning when varying talker, speaking style, or speaking rate but not amplitude or fundamental frequency (Barcroft & Sommers, 2005; Sommers & Barcroft, 2007). The current study examined the effects of region-based sociophonetic variability. In Experiment 1, English speakers attempted to learn German nouns while viewing pictures and listening to the words with low sociophonetic variability (six speakers of one regional variety, one repetition per speaker) and high sociophonetic variability (six speakers of each of six different regional varieties, one repetition per speaker). Participants completed picture-to-L2 and L2-to-first language (L1) posttests. Experiment 2 replicated Experiment 1 while counterbalancing word groups and learning conditions. Results of both experiments revealed increased accuracy for high over low variability, suggesting that regionally varied exemplars of words lead to more robust developing lexical representations.

In a close replication study of Darcy et al., (2016), Huensch (2024) reported a lack of clear relationships between inhibitory control (IC) and phonological processing, contrary to the initial findings. Given the general unreliability of response-time differences, which are often the basis of IC measures and could potentially mask small effects, we performed secondary analyses on Huensch’s (2024) open data set to investigate (a) the extent to which the reliability of IC measures could be improved using model-based approaches (Hui & Wu, 2024), (b) the correlations between the different IC tasks, and (c) their predictive power for phonological processing, based on the more reliable indices. Results showed that model-based approaches generally improved reliability, and particularly for the Stroop and Simon tasks to acceptable levels. Yet, correlations between IC tasks remained low, and partial correlation and hierarchical regression still failed to reveal significant relationships between IC and phonological processing, further confirming Huensch’s (2024) findings.

Analyzing the relationship between argument structure construction (ASC) use and language learning has been an important area of investigation in second language (L2) studies from a usage-based constructionist approach. Previous studies have shown that advanced L2 learners’ language use demonstrates greater ASC diversity, less frequent ASC-verb combinations, and stronger ASC-verb associations. However, these investigations have been limited by methodological challenges in identifying ASCs and have predominantly focused on the written texts. To address these limitations, we employ a fine-tuned model to automatically extract ASCs from target and reference corpora, considering their semantic aspects. We then calculate ASC-based indices and, both alone and in combination with other lexicogrammatical indices, use them to predict L2 oral proficiency scores assigned by human judges. Our findings show that ASC-based indices alone explain 44% of the variance in scores. When combined with other indices, they provide complementary insights that enhance multivariate modeling of L2 oral proficiency.

This paper reports a study that investigated how first language (L1) reading comprehension, L1 low-level skills, working memory capacity, and reading anxiety are related to the accuracy of responses and completion time in a second language (L2) reading test. The data obtained from Hungarian secondary school learners of English showed that anxiety related to processing the L2 reading text, time pressure, and the response tasks as well as L1 reading comprehension scores and backward digit span were significant predictors of L2 reading scores. L1 low-level skills did not contribute significantly to L2 reading accuracy. Higher levels of reading-related anxiety were associated with slower reading, and L2 learners with concurrently lower levels of L1 and L2 reading ability needed more time to complete the reading test. These findings highlight that L2 reading tests should be flexibly timed so that everyone, including test takers with literacy-related difficulties such as dyslexia, can demonstrate their abilities.

This study, grounded in critical disability studies, explores ableism in language education and its impact on Deaf and hard of hearing (DHH) students learning English as a foreign or third language (L3). Using interpretative phenomenological analysis, the lived experiences of 14 Iranian DHH undergraduate students, proficient in Esharani (sign language used by the Iranian Deaf community) and Persian, were analyzed. Participants recounted their experiences with ableism in English education through interviews. Analyzing interviews resulted in the emergence of three key themes: a) lack of awareness of (dis)ability and ableism throughout their English education, b) the prevalence of overt and covert ableism viewing deafness as a marker of “otherness,” and c) the need for advocacy and more inclusive practices and environments for DHH learners acquiring L3. This study highlights the challenges DHH learners face in L3 acquisition and calls for more inclusive language education policies to better support disabled students.