Abstract
Mean length of utterance (MLU) is an important indicator for measuring complexity in child language. A generally employed method for calculating MLU is to use the CLAN toolkit, which includes modules that enable the measurement of utterance length in morphemes. However, these methods are based on rules which are only available for just a few languages not involving Hungarian. Therefore, in order to automatically analyze and measure Hungarian transcripts adequate methods need to be developed. In this paper we describe a new toolkit which is able to estimate MLU counts (in morphemes) while providing morphosyntactic tagging as well. Its components are based on existing resources; however, many of them were adapted to the language of the transcripts. The tool-chain performs the annotation task with a high precision and its MLU estimates are correlated with that of human experts.
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Orosz, G., Mátyus, K. (2014). An MLU Estimation Method for Hungarian Transcripts. In: Sojka, P., Horák, A., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2014. Lecture Notes in Computer Science(), vol 8655. Springer, Cham. https://doi.org/10.1007/978-3-319-10816-2_22
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DOI: https://doi.org/10.1007/978-3-319-10816-2_22
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