Phonetics Learning Anxiety – Results of a Preliminary Study

The Phonetics Learning Anxiety Scale, a 44-item questionnaire based on a 6-point Likert scale, designed for the purpose of the research sheds light on the nature of this peculiar type of apprehension experienced by advanced FL learners in a specific educational context (i.e. a traditional classroom, rather than a language or computer laboratory), in which the major focus is on pronunciation practice. The obtained quantitative data imply that such factors as fear of negative evaluation (represented by general oral performance apprehension and concern over pronunciation mistakes, pronunciation self-image, pronunciation self-efficacy and self-assessment) and beliefs about the nature of FL pronunciation learning are significant sources of PhLA. Anxiety about the transcription test (IPA Test Anxiety) - one of the other hypothetical determinants of PhLA - did not prove to be correlated with the general level of Phonetics Learning Anxiet

Investigating the native speaker phenomenon – a pilot corpus study of native and non-native writing

The aim of this report is to provide a preliminary account of the investigation of two general corpora of written English, which was prompted originally by interest in an analytical tool designed to assess the propositional density in the utterances of learners of English. Since corpora of written language are easier to obtain and to procure in comparison with corpora of spoken language, the procedure was honed and fine tuned on a written corpus with the aim to investigate spoken utterances in an attempt to validate a scoring procedure. Propositional density was envisaged at the onset of the study as an instrumental factor in determining the relative merit of an assortment of samples. A computer program called CPIDR (a Computerized Propositional Idea Density Rater, pronounced “spider”) involves a relatively straightforward procedure and produces results which are easy to interpret for most purposes

Towards a description of trilingual competence

Most studies involving trilingualism have been carried out within the theoretical framework of bilingualism research. No attempt has been made to delimit trilingualism as a concept in its own right, and often it has been assumed to be an extension of bilingualism. In young children, trilingual language acquisition largely follows the path of bilingual acquisition. With regard to language behavior there are again similarities, but certain differences can be observed. As an overview of studies of individual trilingualism, the present article aims to provide a framework for the discussion. Models of bilingual language competence serve as a starting point to an investigation of possible defining features of trilingual competence. Of particular interest are the pragmatic component of language competence; the trilingual's ability to make appropriate linguistic choices in monolingual/bilingual/ trilingual communication modes; and observed codeswitching. The question of how and when a trilingual's languages become activated or deactivated leads to a consideration of language processing and metalinguistic awareness. In the absence of research involving trilinguals, bilingual models are examined with a view to pointing out possible similarities and differences. It is suggested that these are both of a quantitative and qualitative kind, and therefore trilingual competence is distinct from bilingual competence

Automated assessment of second language comprehensibility: Review, training, validation, and generalization studies

Whereas many scholars have emphasized the relative importance of comprehensibility as an ecologically valid goal for L2 speech training, testing, and development, eliciting listeners’ judgments is time-consuming. Following calls for research on more efficient L2 speech rating methods in applied linguistics, and growing attention toward using machine learning on spontaneous unscripted speech in speech engineering, the current study examined the possibility of establishing quick and reliable automated comprehensibility assessments. Orchestrating a set of phonological (maximum posterior probabilities and gaps between L1 and L2 speech), prosodic (pitch and intensity variation), and temporal measures (articulation rate, pause frequency), the regression model significantly predicted how naïve listeners intuitively judged low, mid, high, and nativelike comprehensibility among 100 L1 and L2 speakers’ picture descriptions. The strength of the correlation (r = .823 for machine vs. human ratings) was comparable to naïve listeners’ interrater agreement (r = .760 for humans vs. humans). The findings were successfully replicated when the model was applied to a new dataset of 45 L1 and L2 speakers (r = .827) and tested under a more freely constructed interview task condition (r = .809)