  Turkish has considerably freer word order than English. The interpretations
of different word orders in Turkish rely on information that describes how a
sentence relates to its discourse context. To capture the syntactic features of
a free word order language, I present an adaptation of Combinatory Categorial
Grammars called {}-CCGs (set-CCGs). In {}-CCGs, a verb's subcategorization
requirements are relaxed so that it requires a set of arguments without
specifying their linear order. I integrate a level of information structure,
representing pragmatic functions such as topic and focus, with {}-CCGs to allow
certain pragmatic distinctions in meaning to influence the word order of a
sentence in a compositional way. Finally, I discuss how this strategy is used
within an implemented generation system which produces Turkish sentences with
context-appropriate word orders in a simple database query task.
