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By Peter A. Chew

ISBN-10: 1581121784

ISBN-13: 9781581121780

This dissertation presents a coherent, synchronic, broad-coverage, generative phonology of Russian. I try the grammar empirically in a couple of how one can ensure its goodness of healthy to Russian. In taking this procedure, I target to prevent making untested (or even incoherent) generalizations in response to just a handful of examples. more often than not, the checks exhibit that there are exceptions to the speculation, yet at the least we all know what the exceptions are, a baseline is decided opposed to which destiny theories may be measured, and quite often the share of remarkable circumstances is lowered to under 5%. The central theoretical results of the paintings are as follows. First, I convey that each one of the phonological or morphophonological tactics reviewed may be defined via a grammar not more robust than context-free. Secondly, i use probabilistic constraints within the syllable constitution grammar to give an explanation for why constraints on word-marginal onsets and codas are weaker than on word-internal onsets and codas. I argue that the beneficial properties [+/- preliminary] and [+/- final], and extraprosodicity, are pointless for this function.

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Extra resources for A Computational Phonology of Russian

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One aim of this chapter, therefore, is to put forward a specific grammar of Russian syllable structure as part of the overall phonology proposed in this dissertation. This grammar is explicit about what Russian syllables are; it does 37 ‘state its relations to the other elements of the phonological grammar’, as Fudge puts it, and because the theory is implemented computationally and tested for its coverage, a standard is set against which future proposals can be measured. 1 Sonority and syllable structure The notion of the syllable is inextricably linked to that of ‘sonority’, which has for more than a century been believed by phonologists to be an important factor in the structure of syllables (Whitney 1865, Sievers 1881: 159-160, Jespersen 1904: 186187, de Saussure 1916: 71ff.

Loc. $;0%2! $;0ra+%2sn+in1! 4), and deduce the noun-stem by removing the inflectional ending (in this case, zero). $;0%2! $;0ra+%2sn!. (d) Morphologically parse the inflected forms using the parsing information about the stem from (c), and parsing whatever is to the right of the stem as the inflectional ending. , etc. 2. 62/46! ‘window’ [nom. /6264! ‘windows’ [gen. ]). The morphological tokenization for these forms was input manually. As it turned out, 967 of the 2,493 words in Oliverius (1976) were nouns; 835 of these were included in the theorem dump.

CV. Kahn’s approach is to encode the Maximal Onset Principle as an integral part of the syllabification mechanism, as is clear from his statement quoted on p. 43 above. As Steriade (1982: 75) puts it, ‘Kahn’s algorithm… is partly a specification of certain aspects of the English syllable and partly a parsing device’. The second rule that Kahn proposes for syllable structure assignment is as in (5): (5) Rule II a. Ca V . CcCc+1…CaV " " where Cc+1…CaV is a permissible initial cluster but CcCc+1…CaV is not.

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A Computational Phonology of Russian by Peter A. Chew

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