LINGUIST List 22.3167 Mon Aug 08 2011 Diss: Comp Ling: Mahlow: 'Linguistisch Unterstütztes Redigieren: ...' Editor for this issue: Mfon Udoinyang <mfonlinguistlist.org> To post to LINGUIST, use our convenient web form at http://linguistlist.org/LL/posttolinguist.cfm. Directory         1.     Cerstin Mahlow , Linguistisch Unterstütztes Redigieren: Konzept und exemplarische Umsetzung basierend auf interaktiven computerlinguistischen Ressourcen / Linguistically Supported Editing and Revising: Concept and prototypical implementation based on interactive NLP resources Message 1: Linguistisch Unterstütztes Redigieren: Konzept und exemplarische Umsetzung basierend auf interaktiven computerlinguistischen Ressourcen / Linguistically Supported Editing and Revising: Concept and prototypical implementation based on interactive NLP resources Date: 05-Aug-2011 From: Cerstin Mahlow <mahlowcl.uzh.ch> Subject: Linguistisch Unterstütztes Redigieren: Konzept und exemplarische Umsetzung basierend auf interaktiven computerlinguistischen Ressourcen / Linguistically Supported Editing and Revising: Concept and prototypical implementation based on interactive NLP resources E-mail this message to a friend Institution: Universität Zürich Program: Computational Linguistics Dissertation Status: Completed Degree Date: 2011 Author: Cerstin Mahlow Dissertation Title: Linguistisch Unterstütztes Redigieren: Konzept und exemplarische Umsetzung basierend auf interaktiven computerlinguistischen Ressourcen / Linguistically Supported Editing and Revising: Concept and prototypical implementation based on interactive NLP resources Dissertation URL: www.lingured.info Linguistic Field(s): Computational Linguistics Subject Language(s): German (deu) Dissertation Director: Michael Hess Michael Zock Dissertation Abstract: Composing, revising, and editing are highly demanding tasks. Even in polished and published texts from professional writers we can observe errors and mistakes. For many errors, we can infer how they came to be: Word processors offer character-based functions only. These functions do not take into account elements and structures of the language the author is using. Authors are thus forced to translate their high-level goals into long and complex sequences of low-level character-based functions. Both the translation process and the execution of such sequences of functions are error-prone. However, in text editors for programmers we find so-called language-aware editing functions. These functions operate on the elements and structures of a programming or mark-up language and help to avoid errors, as language-aware functions make revising and editing less tedious and error-prone. We argue that the concept of language awareness can be transferred to writing natural language texts using word processors. We propose functions that take the structures of natural languages into consideration. We distinguish information functions, movement functions, and operations to support revising and editing. The design is based on current findings from writing research. Language-aware editing functions rely on the recognition and categorization of relevant elements and structures with respect to a certain language. We use methods and resources from computational linguistics for morphological analysis and generation, and for part-of-speech tagging. When evaluating respective resources we face a rather disappointing situation: NLP resources for German are less suitable than assumed and less applicable for real-world applications than usually claimed in the literature.Our prototypical implementation of language-aware functions for revising and editing of German texts serves as a proof of concept. The implementation illustrates opportunities and limits of current NLP resources for German. Read more issues|LINGUIST home page|Top of issue Page Updated: 08-Aug-2011       About LINGUIST    |   Contact Us       While the LINGUIST List makes every effort to ensure the linguistic relevance of sites listed on its pages, it cannot vouch for their contents.