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LINGUIST List 22.3167

Mon Aug 08 2011

Diss: Comp Ling: Mahlow: 'Linguistisch Unterstütztes Redigieren: ...'

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        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
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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.




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