Automatic Assessment of Children's L2 Reading for Accuracy and Fluency

Kamini Sabu, Prakhar Swarup, Hitesh Tulsiani, Preeti Rao


This project targets using state-of-the-art in automatic speech recognition technology, coupled with new work in predicting the relevant prosody ratings, to build an oral reading assessment tool. A reliable automatic system can prove invaluable in helping children acquire basic reading skills apart from facilitating the monitoring of literacy programs at large scale. In the present work, we target middle-school learners of English as a second language in a rural Indian setting. We present the design and observed characteristics of our field-collected oral reading dataset to outline the research challenges faced. Recently proposed solutions to the training of robust acoustic models in the face of limited task specific data are evaluated for the prediction of the child's word decoding accuracy and for achieved word-level alignments for prosody scoring. A language model is designed to exploit the known text and observed reading errors while being flexible enough to adapt to new reading material without further training. Based on a scoring rubric proposed by a national mission on literacy assessment in India, we present an automatic system that detects reading miscues and computes fluency indicators at the sentence level which are then correlated with finerained subjective ratings by an expert.


 DOI: 10.21437/SLaTE.2017-21

Cite as: Sabu, K., Swarup, P., Tulsiani, H., Rao, P. (2017) Automatic Assessment of Children's L2 Reading for Accuracy and Fluency. Proc. 7th ISCA Workshop on Speech and Language Technology in Education, 121-126, DOI: 10.21437/SLaTE.2017-21.


@inproceedings{Sabu2017,
  author={Kamini Sabu and Prakhar Swarup and Hitesh Tulsiani and Preeti Rao},
  title={ Automatic Assessment of Children's L2 Reading for Accuracy and Fluency},
  year=2017,
  booktitle={Proc. 7th ISCA Workshop on Speech and Language Technology in Education},
  pages={121--126},
  doi={10.21437/SLaTE.2017-21},
  url={http://dx.doi.org/10.21437/SLaTE.2017-21}
}