By John J. McCarthy
Chapter 1 An advent to Optimality concept (pages 1–29):
Chapter 2 how you can build an research (pages 30–136):
Chapter three how one can Write Up an research (pages 137–165):
Chapter four constructing New Constraints (pages 166–234):
Chapter five Language Typology and Universals (pages 235–259):
Chapter 6 a few present examine Questions (pages 260–278):
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Extra resources for Doing Optimality Theory: Applying Theory to Data
This chapter is structured around four main topics: choosing appropriate data to work on, getting from the data to an OT analysis, constraint ranking, and finding and fixing problems with the analysis. It also contains sections about two closely related topics: constraintranking algorithms and the logic of OT. Developing an analysis and writing it up are somewhat different tasks. This chapter is about the process of developing an analysis. Chapter 3 is about how to write up the results. 1 Choosing a problem to work on The first step is to find some data to analyze.
Problems like these are very common and can be found in the work of some of the best linguists and in the pages of the best journals. For instance, an article that was published in 2004 in one of the best-edited and most widely admired linguistics journals contains a mistake of the last type. The language in question allows onsetless syllables, and this leads the author to infer correctly that the faithfulness constraints Max and Dep dominate Onset. But the author says that the ranking in this language is Max >> Dep >> Onset.
McCarthy © 2008 John McCarthy. qxd 8/1/08 10:35 AM Page 31 Where to Begin 31 problem sets, were smaller versions of the same thing: an analysis of all the alternations in Latin third declension nouns, for instance. That approach made sense in the SPE theory of phonology, where the goal of the analysis was to construct and order a set of languageparticular rules. Success depended on generating all of the correct forms using maximally simple rules. OT is different. An OT grammar is a ranking of universal constraints, but relatively few of those constraints are presently known to us with certainty.
Doing Optimality Theory: Applying Theory to Data by John J. McCarthy