@inproceedings{nisioi-2016-comparing,
title = "Comparing Speech and Text Classification on {ICNALE}",
author = "Nisioi, Sergiu",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1542",
pages = "3402--3406",
abstract = "In this paper we explore and compare a speech and text classification approach on a corpus of native and non-native English speakers. We experiment on a subset of the International Corpus Network of Asian Learners of English containing the recorded speeches and the equivalent text transcriptions. Our results suggest a high correlation between the spoken and written classification results, showing that native accent is highly correlated with grammatical structures found in text.",
}
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%0 Conference Proceedings
%T Comparing Speech and Text Classification on ICNALE
%A Nisioi, Sergiu
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F nisioi-2016-comparing
%X In this paper we explore and compare a speech and text classification approach on a corpus of native and non-native English speakers. We experiment on a subset of the International Corpus Network of Asian Learners of English containing the recorded speeches and the equivalent text transcriptions. Our results suggest a high correlation between the spoken and written classification results, showing that native accent is highly correlated with grammatical structures found in text.
%U https://aclanthology.org/L16-1542
%P 3402-3406
Markdown (Informal)
[Comparing Speech and Text Classification on ICNALE](https://aclanthology.org/L16-1542) (Nisioi, LREC 2016)
ACL
- Sergiu Nisioi. 2016. Comparing Speech and Text Classification on ICNALE. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3402–3406, Portorož, Slovenia. European Language Resources Association (ELRA).