From Phoneme to Morpheme: A Computational Model

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Dokumentart: ConferencePaper
Date: 2015-11-04
Language: English
Faculty: 5 Philosophische Fakultät
5 Philosophische Fakultät
Department: Allgemeine u. vergleichende Sprachwissenschaft
DDC Classifikation: 400 - Language and Linguistics
Keywords: Linguistik
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Zellig Harris proposed a method for grouping phonemes in an utterance into morphemes by simply using counts of each of the phonemes in a corpus relative to their position in sequences contained in the data set. Thus, using an n-gram model, one can model this process and see whether a computational model can actually group representations of phonemes into segments which correspond to morphemes. Here, we use a general n-gram modelling tool created for melodic grouping in music corpora and apply it to a natural language data set.We show that this method which approximates Harris’s can indeed find morphemes in a given language corpus by calculating the distributions of phonemes across a corpus.

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