@inproceedings{holz-etal-2018-coast,
title = "{COAST} - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials",
author = "Holz, Heiko and
Weiss, Zarah and
Brehm, Oliver and
Meurers, Detmar",
editor = "Tetreault, Joel and
Burstein, Jill and
Kochmar, Ekaterina and
Leacock, Claudia and
Yannakoudakis, Helen",
booktitle = "Proceedings of the Thirteenth Workshop on Innovative Use of {NLP} for Building Educational Applications",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-0509",
doi = "10.18653/v1/W18-0509",
pages = "89--100",
abstract = "This paper presents COAST, a web-based application to easily and automatically enhance syllable structure, word stress, and spacing in texts, that was designed in close collaboration with learning therapists to ensure its practical relevance. Such syllable-enhanced texts are commonly used in learning therapy or private tuition to promote the recognition of syllables in order to improve reading and writing skills. In a state of the art solutions for automatic syllable enhancement, we put special emphasis on syllable stress and support specific marking of the primary syllable stress in words. Core features of our tool are i) a highly customizable text enhancement and template functionality, and ii) a novel crowd-sourcing mechanism that we employ to address the issue of data sparsity in language resources. We successfully tested COAST with real-life practitioners in a series of user tests validating the concept of our framework.",
}
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%0 Conference Proceedings
%T COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials
%A Holz, Heiko
%A Weiss, Zarah
%A Brehm, Oliver
%A Meurers, Detmar
%Y Tetreault, Joel
%Y Burstein, Jill
%Y Kochmar, Ekaterina
%Y Leacock, Claudia
%Y Yannakoudakis, Helen
%S Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F holz-etal-2018-coast
%X This paper presents COAST, a web-based application to easily and automatically enhance syllable structure, word stress, and spacing in texts, that was designed in close collaboration with learning therapists to ensure its practical relevance. Such syllable-enhanced texts are commonly used in learning therapy or private tuition to promote the recognition of syllables in order to improve reading and writing skills. In a state of the art solutions for automatic syllable enhancement, we put special emphasis on syllable stress and support specific marking of the primary syllable stress in words. Core features of our tool are i) a highly customizable text enhancement and template functionality, and ii) a novel crowd-sourcing mechanism that we employ to address the issue of data sparsity in language resources. We successfully tested COAST with real-life practitioners in a series of user tests validating the concept of our framework.
%R 10.18653/v1/W18-0509
%U https://aclanthology.org/W18-0509
%U https://doi.org/10.18653/v1/W18-0509
%P 89-100
Markdown (Informal)
[COAST - Customizable Online Syllable Enhancement in Texts. A flexible framework for automatically enhancing reading materials](https://aclanthology.org/W18-0509) (Holz et al., BEA 2018)
ACL