NLP-based Assessment of Reading Efficiency in Early Grade Children

Vito Pirrelli


Abstract
Assessing reading skills is a laborious and time-consuming task, which requires monitoring a variety of interlocked abilities, ranging from accurate word rendering, reading fluency and lexical access, to linguistic comprehension, and interpretation, management and inference of complex events in working memory. No existing software, to our knowledge, is able to cover and integrate reading performance monitoring, instant feedback, personalised potentiation and intelligent decision support to teachers and speech therapists, assessment of response to intervention. NLP and ICT technologies can make such an ambitious platform an achievable target.
Anthology ID:
2018.clib-1.2
Volume:
Proceedings of the Third International Conference on Computational Linguistics in Bulgaria (CLIB 2018)
Month:
May
Year:
2018
Address:
Sofia, Bulgaria
Venue:
CLIB
SIG:
Publisher:
Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences
Note:
Pages:
5–6
Language:
URL:
https://aclanthology.org/2018.clib-1.2
DOI:
Bibkey:
Cite (ACL):
Vito Pirrelli. 2018. NLP-based Assessment of Reading Efficiency in Early Grade Children. In Proceedings of the Third International Conference on Computational Linguistics in Bulgaria (CLIB 2018), pages 5–6, Sofia, Bulgaria. Department of Computational Linguistics, Institute for Bulgarian Language, Bulgarian Academy of Sciences.
Cite (Informal):
NLP-based Assessment of Reading Efficiency in Early Grade Children (Pirrelli, CLIB 2018)
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PDF:
https://aclanthology.org/2018.clib-1.2.pdf