This paper describes a lexicalized tree adjoining grammar (LTAG) based parsing system for Korean which combines corpus-based morphological analysis and tagging with a statistical parser. Part of the challenge of statistical parsing for Korean comes from the fact that Korean has free word order and a complex morphological system. The parser uses an LTAG grammar which is automatically extracted using LexTract (Xia et al., 2000) from the Penn Korean TreeBank (Han et al., 2002). The morphological tagger/analyzer is also trained on the TreeBank. The tagger/analyzer obtained the correctly disambiguated morphological analysis of words with 95.78/95.39% precision/recall when tested on a test set of 3,717 previously unseen words. The parser obtained an accuracy of 75.7% when tested on the same test set (of 425 sentences). These performance results are better than an existing off-the-shelf Korean morphological analyzer and parser run on the same data