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There are many people to whom I owe a debt of thanks for their support, for the completion of my thesis and supported me in science as well in privacy during this time. First, I would like to sincerely thank my advisor, Prof. Dr Erhard Hin-richs, under whose influence the work here was initiated during my fruit-ful stay in Germany. Without his continuous and invaluable support, this work could not have been completed. I would also like to thank Prof. Dr. Eschbach-Szabo for reading this thesis and offering constructive comments. Besides my advisors, I am deeply grateful to the rest of my thesis commit-tee: Frank Richter and Fritz Hamm, for their kindly support and interesting questions. A special thanks goes to Lothar Lemnitzer, who proofread the thesis carefully and gave insightful comments. I would like to thank my parents for their life-long love and support. Last but not least, I also owe a lot of thanks to my lovely wife Hsiao-Wen, my

This paper presents several useful computational tools and available resources to facilitate linguistic studies. For each computational tool, we demonstrate why it is useful and how can it be used for research. In addition, linguistic examples are given for illustration. First, a very useful searching engine, Key Word in Context (KWIC), is introduced. This tool can automatically extract linguistically significant patterns from large corpora and help linguists discover syntagmatic generalizations. Second, Dynamic Clustering and Hierarchical Clustering are introduced for identifying natural clusters of words or phrases in distribution. Third, statistical measures which could be used to measure the degree of cohesion and correlation among linguistic units are presented. These tools can help linguists identify the boundaries of lexical units. Fourth, alignment tools for aligning parallel texts at the word, sentence and structure levels are presented for linguists who do comparative studies...

This paper describes the design criteria and annotation guidelines of the Sinica Treebank. The three design criteria are: Maximal Resource Sharing, Minimal Structural Complexity, and Optimal Semantic Information. One of the important design decisions guided by these criteria is the encoding of thematic role information. We discuss the representational and methodological issues based on our design criteria.