This paper reports on the TIGER Treebank, a corpus of currently 40,000 syntactically annotated German newspaper sentences. We describe what kind of information is encoded in the treebank and introduce the different representation formats that are used for the annotation and exploitation of the treebank. We explain the different methods used for the annotation: interactive annotation, using the tool ANNOTATE, and LFG parsing. Furthermore, we give an account of the annotation scheme used for the TIGER treebank. This scheme is an extended and improved version of the NEGRA annotation scheme and we illustrate in detail the linguistic extensions that were made concerning the annotation in the TIGER project. The main differences are concerned with coordination, verb-subcategorization, expletives as well as proper nouns. In addition, the paper also presents the query tool TIGERSearch that was developed in the project to exploit the treebank in an adequate way. We describe the query language which was designed to facilitate a simple formulation of complex queries; furthermore, we shortly introduce TIGER in, a graphical user interface for query input. The paper concludes with a summary and some directions for future work.

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Earlier research studying the effects of semantic context on single words suggested that subjects may have two strategies for using a context (Becker, 1980). The present research finds that the semantic context strategies may be used in reading short sentences. Further, individual differences in context effects both in a word-level task and in a sentence-level task are related to individual differences in reading continuous text. These results are presented within the framework of the verification model (Becker, 1976, 1980), and the implications for two-process theory (Stanovich & West, 1979, 1981) are discussed.