This study investigates the automatization of sentence processing using the coefficient of variation (CV), a measure of intraindividual processing stability (Segalowitz & Segalowitz, 1993). A smaller CV (i.e., standard deviation to reaction time [RT] ratio) and a positive CV-RT correlation are taken to index increased automatization. Hulstijn, Van Gelderen, and Schoonen (2009) were the first to try to validate the use of CV at the sentence level; however, they did not find any evidence for automatization in their CV analyses. Forty Korean English as a second language students (20 intermediate, 20 advanced) and 20 native speakers performed three speeded tasks in English: a semantic classification task, a sentence verification task, and a sentence construction task. The results revealed that, consistent with findings from previous word recognition studies, the CV in the sentence-level tasks decreased as participants' proficiency level increased. Although the CV-RT correlation in the sentence verification task was not always significant, no counterevidence against Segalowitz and Segalowitz' (1993) hypothesis was found. The sentence construction task discriminated better between groups than the sentence verification task. We argue that the CV may be a valid measure of automatization at the sentence level, provided the tasks used target lower-level processes such as word recognition, parsing, and semantic proposition formation.

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An increasing number of studies are exploring the benefits of automatic speech recognition (ASR)–based dictation programs for second language (L2) pronunciation learning (e.g. Chen, Inceoglu & Lim, 2020; Liakin, Cardoso & Liakina, 2015; McCrocklin, 2019), but how ASR recognizes accented speech and the nature of the feedback it provides to language learners is still largely under-researched. The current study explores whether the intelligibility of L2 speakers differs when assessed by native (L1) listeners versus ASR technology, and reports on the types of intelligibility issues encountered by the two groups. Twelve L1 listeners of English transcribed 48 isolated words targeting the /ɪ-i/ and /æ-ε/ contrasts and 24 short sentences that four Taiwanese intermediate learners of English had produced using Google’s ASR dictation system. Overall, the results revealed lower intelligibility scores for the word task (ASR: 40.81%, L1 listeners: 38.62%) than the sentence task (ASR: 75.52%, L1 listeners: 83.88%), and highlighted strong similarities in the error types – and their proportions – identified by ASR and the L1 listeners. However, despite similar recognition scores, correlations indicated that the ASR recognition of the L2 speakers’ oral productions mirrored the L1 listeners’ judgments of intelligibility in the word and sentence tasks for only one speaker, with significant positive correlations for one additional speaker in each task. This suggests that the extent to which ASR approaches L1 listeners at recognizing accented speech may depend on individual speakers and the type of oral speech.

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BackgroundOsteoclasts are the only cell type capable of breaking down bone matrix, and its excessive activation is responsible for the development of bone-destructive diseases. Euphorbia lathyris L. (ELL) is an herbal plant that belongs to the Euphorbiaceae family. This study investigated the effects of the methanol extract of the aerial part of ELL on receptor activator of nuclear factor-kappa B ligand (RANKL)-induced osteoclast formation and signaling pathways.MethodsOsteoclasts were formed by co-culturing mouse bone marrow with osteoblasts or by culturing mouse bone marrow-derived macrophages (BMMs) with macrophage colony-stimulating factor (M-CSF) and RANKL. Bone resorption assays were performed using dentine slices. The expression level of mRNA was analyzed by real-time polymerase chain reaction (PCR) or reverse transcription (RT)-PCR. Western blotting assays were performed to detect the expression or activation level of proteins.ResultsELL inhibited RANKL-induced osteoclast formation without cytotoxicity. Furthermore, the RANKL-stimulated bone resorption was diminished by ELL. Mechanistically, ELL blocked the RANKL-triggered p38 mitogen-activated protein kinase (MAPK) phosphorylation, which resulted in the suppression of the expression of c-Fos and nuclear factor of activated T cells (NFATc1). In osteoblasts, ELL had little effect on the mRNA expression of RANKL and osteoprotegerin (OPG).ConclusionsThe present data suggest that ELL has an inhibitory effect on osteoclast differentiation and function via downregulation of the p38/c-Fos/NFATc1 signaling pathways. Thus, ELL could be useful for the treatment of bone diseases associated with excessive bone resorption.