Mean length of utterance (MLU) is an important indicator for measur- ing complexity in child language. A generally employed method for calculating MLU is to use the CLAN toolkit, which includes modules that enable the mea- surement of utterance length in morphemes. However, these methods are based on rules which are only available for just a few languages not involving Hun- garian. Therefore, in order to automatically analyze and measure Hungarian tran- scripts 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.
['György Orosz', 'Kinga Mátyus']
An MLU Estimation Method for Hungarian Transcripts