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The two papers included in this volume have developed from work with the CHILDES tools and the Media Editor in the two research projects, "Second language acquisition of German by Russian learners", sponsored by the Max Planck Institute for Psycholinguistics, Nijmegen, from 1998 to 1999 (directed by Ursula Stephany, University of Cologne, and Wolfgang Klein, Max Planck Institute for Psycholinguistics, Nijmegen) and "The age factor in the acquisition of German as a second language", sponsored by the German Science Foundation (DFG), Bonn, since 2000 (directed by Ursula Stephany, University of Cologne, and Christine Dimroth, Max Planck Institute for Psycholinguistics, Nijmegen). The CHILDES Project has been developed and is being continuously improved at Carnegie Mellon University, Pittsburgh, under the supervision of Brian MacWhinney. Having used the CHILDES tools for more than ten years for transcribing and analyzing Greek child data there it was no question that I would also use them for research into the acquisition of German as a second language and analyze the big amount of spontaneous speech gathered from two Russian girls with the help of the CLAN programs. When in the spring of 1997, Steven Gillis from the University of Antwerp (in collaboration with Gert Durieux) developed a lexicon-based automatic coding system based on the CLAN program MOR and suitable for coding languages with richer morphologies than English, such as Modern Greek. Coding huge amounts of data then became much quicker and more comfortable so that I decided to adopt this system for German as well. The paper "Working with the CHILDES Tools" is based on two earlier manuscripts which have grown out of my research on Greek child language and the many CHILDES workshops taught in Germany, Greece, Portugal, and Brazil over the years. Its contents have now been adapted to the requirements of research into the acquisition of German as a second language and for use on Windows.
Dieser Beitrag basiert auf dem Forschungsprojekt DICONALE, das sich die Erstellung eines konzeptuell orientierten, zweisprachigen Wörterbuchs mit Online-Zugang für Verballexeme des Deutschen und Spanischen zum Ziel gesetzt hat. Das Anliegen dieses Beitrags ist es, die relevantesten Eigenschaften des geplanten Wörterbuchs exemplarisch anhand von zwei Verblexemen aus dem konzeptuellen Feld der KOGNITION vorzustellen. Neben der Beschreibung der paradigmatischen Sinnrelationen der Feldelemente zueinander wird besonderer Wert auf die syntagmatischen Inhalts- und Ausdrucksstrukturen und auf die kontrastive Analyse gelegt. Es wird versucht, einerseits einen Überblick über die wichtigsten Besonderheiten des Wörterbuchs anzubieten und andererseits die Relevanz solcher Kriterien für die heutige kontrastive Lexikographie Deutsch-Spanisch nachzuweisen.
Um den schwierigen Wettbewerbsbedingungen im internationalen Vergleich entgegentreten zu können, benötigen kleine und mittlere Unternehmen nicht nur den Einsatz moderner Informationstechniken und eine kommerzielle Präsenz im multimedialen und grafikintensiven Teil des Internets, sondern auch eine an den Kunden angepasste Web-Präsenz. In diesem Sinne widmen wir uns in diesem Beitrag der wirtschaftlichen Notwendigkeit einer kontrastiven Hypertextgrammatik. In den letzten Jahren ist dank der zunehmenden Bedeutung des Internets als Handelsplattform eine grammatische Unterdisziplin entstanden, die zur Geschäftsoptimierung kleiner und mittlerer Unternehmen einen beachtlichen Beitrag leisten könnte: die kontrastive Hypertextgrammatik. Wir gehen hier der Frage nach, wie man bei einer kontrastiven hypertextgrammatischen Studie vorgehen könnte.
The purpose of this article is to report on the work carried out during the research project "O trabalho de tradutor como fonte para a constituição de base de dados" (The translator´s work as a source for the constitution of a database). Through the restoration, organization and digitalization of the personal glossary and part of the books containing the translations made by the deceased public translator Gustavo Lohnefink, this research project intends to construct a digital database of German – Portuguese technical terms (for the language pair), which could then be used by other translators. In order to achieve this purpose, a specific methodology had to be developed, which could be used as a starting-point for the treatment and recovery of other similarly organized data-collections.
The purpose of this paper is to describe the TüBa-D/Z treebank of written German and to compare it to the independently developed TIGER treebank (Brants et al., 2002). Both treebanks, TIGER and TüBa-D/Z, use an annotation framework that is based on phrase structure grammar and that is enhanced by a level of predicate-argument structure. The comparison between the annotation schemes of the two treebanks focuses on the different treatments of free word order and discontinuous constituents in German as well as on differences in phrase-internal annotation.
Transforming constituent-based annotation into dependency-based annotation has been shown to work for different treebanks and annotation schemes (e.g. Lin (1995) has transformed the Penn treebank, and Kübler and Telljohann (2002) the Tübinger Baumbank des Deutschen (TüBa-D/Z)). These ventures are usually triggered by the conflict between theory-neutral annotation, that targets most needs of a wider audience, and theory-specific annotation, that provides more fine-grained information for a smaller audience. As a compromise, it has been pointed out that treebanks can be designed to support more than one theory from the start (Nivre, 2003). We argue that information can also be added to an existing annotation scheme so that it supports additional theory-specific annotations. We also argue that such a transformation is useful for improving and extending the original annotation scheme with respect to both ambiguous annotation and annotation errors. We show this by analysing problems that arise when generating dependency information from the constituent-based TüBa-D/Z.
Hybrid robust deep and shallow semantic processing for creativity support in document production
(2004)
The research performed in the DeepThought project (http://www.project-deepthought.net) aims at demonstrating the potential of deep linguistic processing if added to existing shallow methods that ensure robustness. Classical information retrieval is extended by high precision concept indexing and relation detection. We use this approach to demonstrate the feasibility of three ambitious applications, one of which is a tool for creativity support in document production and collective brainstorming. This application is described in detail in this paper. Common to all three applications, and the basis for their development is a platform for integrated linguistic processing. This platform is based on a generic software architecture that combines multiple NLP components and on robust minimal recursive semantics (RMRS) as a uniform representation language.
When a statistical parser is trained on one treebank, one usually tests it on another portion of the same treebank, partly due to the fact that a comparable annotation format is needed for testing. But the user of a parser may not be interested in parsing sentences from the same newspaper all over, or even wants syntactic annotations for a slightly different text type. Gildea (2001) for instance found that a parser trained on the WSJ portion of the Penn Treebank performs less well on the Brown corpus (the subset that is available in the PTB bracketing format) than a parser that has been trained only on the Brown corpus, although the latter one has only half as many sentences as the former. Additionally, a parser trained on both the WSJ and Brown corpora performs less well on the Brown corpus than on the WSJ one. This leads us to the following questions that we would like to address in this paper: - Is there a difference in usefulness of techniques that are used to improve parser performance between the same-corpus and the different-corpus case? - Are different types of parsers (rule-based and statistical) equally sensitive to corpus variation? To achieve this, we compared the quality of the parses of a hand-crafted constraint-based parser and a statistical PCFG-based parser that was trained on a treebank of German newspaper text.
We investigate methods to improve the recall in coreference resolution by also trying to resolve those definite descriptions where no earlier mention of the referent shares the same lexical head (coreferent bridging). The problem, which is notably harder than identifying coreference relations among mentions which have the same lexical head, has been tackled with several rather different approaches, and we attempt to provide a meaningful classification along with a quantitative comparison. Based on the different merits of the methods, we discuss possibilities to improve them and show how they can be effectively combined.
Using a qualitative analysis of disagreements from a referentially annotated newspaper corpus, we show that, in coreference annotation, vague referents are prone to greater disagreement. We show how potentially problematic cases can be dealt with in a way that is practical even for larger-scale annotation, considering a real-world example from newspaper text.