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. Author manuscript; available in PMC: 2016 Apr 1.
Published in final edited form as: Read Writ. 2014 Dec 7;28(4):467–490. doi: 10.1007/s11145-014-9533-0

Table 1.

Words and example training sentences for the word segmentation task

Words Example training sentencesa,b
Nifopa Kuda monifopadibokudalagotifa
Dibo Lagoti molagotinifopakudadibo
a

Sentences began with the syllable mo and ended with the syllable fa to prevent participants from using the onset and offset of sentences to find word boundaries

b

Following up on the example from the text, after the first example sentence there is a 100 % likelihood of fo following ni, of pa following fo, and of di following pa. Thus, the statistics do not provide a clue to word boundaries. After the second sentence, the likelihood of fo following ni and pa following fo is still 100 %, but now the likelihood of di or ku following pa is 50 %. This change in probability signals the presence of a word boundary.