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This paper presents the application of the <tiger2/> format to various linguistic scenarios with the aim of making it the standard serialisation for the ISO 24615 [1] (SynAF) standard. After outlining the main characteristics of both the SynAF metamodel and the <tiger2/> format, as extended from the initial Tiger XML format [2], we show through a range of different language families how <tiger2/> covers a variety of constituency and dependency based analyses.
The main objective of this article is to describe the current activities at the Mannheim Institute for German Language regarding the implementation of a domain-specific ontology for German grammar. We differentiate ontology bases from ontology management Systems, point out the benefits of database-driven Solutions, and go Step by Step through all phases of the ontology lifecycle. In Order to demonstrate the practical use of our approach, we outline the interface between our ontology and the grammis web Information System, and compare the ontology-based retrieval mechanism with traditional full text search.
XML has been designed for creating structured documents, but the information that is encoded in these structures are, by definition, out of scope for XML. Additional sources, normally not easily interpretable by computers, such as documentation are needed to determine the intention of specific tags in a tag-set. The Component Metadata Infrastructure (CMDI) takes a rather pragmatic approach to foster interoperability between XML instances in the domain of metadata descriptions for language resources. This paper gives an overview of this approach.
The paper presents an XML schema for the representation of genres of computer-mediated communication (CMC) that is compliant with the encoding framework defined by the TEI. It was designed for the annotation of CMC documents in the project Deutsches Referenzkorpus zur internetbasierten Kommunikation (DeRiK), which aims at building a corpus on language use in the most popular CMC genres on the German-speaking Internet. The focus of the schema is on those CMC genres which are written and dialogic―such as forums, bulletin boards, chats, instant messaging, wiki and weblog discussions, microblogging on Twitter, and conversation on “social network” sites.
The schema provides a representation format for the main structural features of CMC discourse as well as elements for the annotation of those units regarded as “typical” for language use on the Internet. The schema introduces an element <posting>, which describes stretches of text that are sent to the server by a user at a certain point in time. Postings are the main constituting elements of threads and logfiles, which, in our schema, are the two main types of CMC macrostructures. For the microlevel of CMC documents (that is, the structure of the <posting> content), the schema introduces elements for selected features of Internet jargon such as emoticons, interaction words and addressing terms. It allows for easy anonymization of CMC data for purposes in which the annotated data are made publicly available and includes metadata which are necessary for referencing random excerpts from the data as references in dictionary entries or as results of corpus queries.
Documentation of the schema as well as encoding examples can be retrieved from the web at http://www.empirikom.net/bin/view/Themen/CmcTEI. The schema is meant to be a core model for representing CMC that can be modified and extended by others according to their own specific perspectives on CMC data. It could be a first step towards an integration of features for the representation of CMC genres into a future new version of the TEI Guidelines.
We present SPLICR, the Web-based Sustainability Platform for Linguistic Corpora and Resources. The system is aimed at people who work in Linguistics or Computational Linguistics: a comprehensive database of metadata records can be explored in order to find language resources that could be appropriate for one’s spe cific research needs. SPLICR also provides a graphical interface that enables users to query and to visualise corpora. The project in which the system is developed aims at sustainably archiving the ca. 60 language resources that have been constructed in three collaborative research centres. Our project has two primary goals: (a) To process and to archive sustainably the resources so that they are still available to the research community in five, ten, or even 20 years time. (b) To enable researchers to query the resources both on the level of their metadata as well as on the level of linguistic annotations. In more general terms, our goal is to enable solutions that leverage the interoperability, reusability, and sustainability of heterogeneous collec- tions of language resources.
We present an approach to an aspect of managing complex access scenarios to large and heterogeneous corpora that involves handling user queries that, intentionally or due to the complexity of the queried resource, target texts or annotations outside of the given user’s permissions. We first outline the overall architecture of the corpus analysis platform KorAP, devoting some attention to the way in which it handles multiple query languages, by implementing ISO CQLF (Corpus Query Lingua Franca), which in turn constitutes a component crucial for the functionality discussed here. Next, we look at query rewriting as it is used by KorAP and zoom in on one kind of this procedure, namely the rewriting of queries that is forced by data access restrictions.