By Chet A. Creider, Jane Tapsubei Creider
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Extra info for A grammar of Nandi
This is the same subset of CELEX which was used for the calculations reported by Hay et al. 3. The probability of the phoneme transition across the morpheme boundary was calculated, with reference to this set of monomorphemes. I assume the syllabification provided by CELEX, and calculate the probabilities in a position specific manner. Codas and onsets are treated as holistic entities. Thus, for a word like zantlid, the probability within the set of monomorphemes is calculated as the proportion of all monomorphemes which contain an /nt/ coda, followed by an /l/ onset.
On presentation of the /n/, then, a certain prediction will occur, and the Phonotactics and Morphology in Speech Perception 19 boundary marker will receive some degree of activation. The degree of activation of the boundary unit is unrelated to whatever phoneme actually occurs next. At the time of the presentation of /n/, the network does not know whether the next phoneme is /t/, /p/, or something else. As such, a network trained on a prediction task would make the same predictions regarding the presence of a boundary in strinty and strinpy.
3). This network is trained to use phonotactics to spot word boundaries, and then tested on a corpus of multimorphemic words. The learning transfers automatically to the spotting of (certain) morpheme boundaries. Morphologically complex words in English cannot escape the effects of a prelexical, phonotactics-based segmentation strategy. 1 Phonotactics in Speech Perception There is a rapidly accumulating body of evidence that language specific phonotactic patterns affect speech perception. Phonotactics have been shown to affect the placement of phoneme category boundaries (Elman and McClelleland 1988), performance in phoneme monitoring tasks (Otake et al.