- Read more about Investigation of the Effects of Automatic Scoring Technology on Human Raters' Performances in L2 Speech Proficiency Assessment
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This study investigates how automatic scorings based on speech technology can affect human raters' judgement of students' oral language proficiency in L2 speaking tests. Automatic scorings based on ASR are widely used in non-critical speaking tests or practices and relatively high correlations between machine scores and human scores have been reported. In high-stakes speaking tests, however, many teachers remain skeptical about the fairness of automatic scores given by machines even with the most advanced scoring methods.
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- Read more about Rich Punctuations Prediction Using Large-scale Deep Learning
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Punctuation plays an important role in language processing. However, automatic speech recognition systems only output plain word sequences. It is then of interest to predict punctuations on plain word sequences. Previous works have focused on using lexical features or prosodic cues captured from small corpus to predict simple punctuations. Compared with simple punctuations, rich punctuations provide more meaningful
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17 Views- Read more about L1/L2 Difference in Phonological Sensitivity and Information Planning - Evidence from F0 Pattern
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Assuming that linguistic specifications and information
planning contribute to different levels of prosodic organization
that cumulatively constitute output prosody, quantitative
analysis of respective contributions can be derived through
normalization procedures that remove levels of interactions
involved. The current study attempts to account for how L2
prosody departs from the L1 norm in the two levels mentioned
and whether an account can be offered. F0 patterns of word
English stress categories (primary, secondary and tertiary) and
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