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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.
Our paper outlines a proposal for the consistent modeling of heterogeneous lexical structures in semasiological dictionaries, based on the element structures described in detail in chapter 9 (Dictionaries) of the TEI Guidelines. The core of our proposal describes a system of relatively autonomous lexical “crystals” that can, within the constraints of the relevant element’s definition, be combined to form complex structures for the description of morphological form, grammatical information, etymology, word-formation, and meaning for a lexical structure.
The encoding structures we suggest guarantee sustainability and support re-usability and interoperability of data. This paper presents case studies of encoding dictionary entries in order to illustrate our concepts and test their usability.
We comment on encoding issues involving <entry>, <form>, <etym>, and on refinements to the internal content of <sense>.
Although most of the relevant dictionary productions of the recent past have relied on digital data and methods, there is little consensus on formats and standards. The Institute for Corpus Linguistics and Text Technology (ICLTT) of the Austrian Academy of Sciences has been conducting a number of varied lexicographic projects, both digitising print dictionaries and working on the creation of genuinely digital lexicographic data. This data was designed to serve varying purposes: machine-readability was only one. A second goal was interoperability with digital NLP tools. To achieve this end, a uniform encoding system applicable across all the projects was developed. The paper describes the constraints imposed on the content models of the various elements of the TEI dictionary module and provides arguments in favour of TEI P5 as an encoding system not only being used to represent digitised print dictionaries but also for NLP purposes.
The present contribution addresses an infrastructural issue of universal relevance, addressed in the specific context of the TEI. We describe a combination of open-source tools and an open-access approach to creating knowledge repositories that have been employed in building a bibliographic reference library for the “TEI for Linguists” special interest group (LingSIG). The authors argue that, for an initiative such as the TEI, it is important to choose open, freely available solutions. If these solutions have the advantage of attracting new users and promoting the initiative itself, so much the better, especially if it is done in a non-committal way: no one using the LingSIG bibliographic repository has to be a member of the LingSIG or a “TEI-er” in general.
In recent years, new developments in the area of lexicography have altered not only the management, processing and publishing of lexicographical data, but also created new types of products such as electronic dictionaries and thesauri. These expand th range of possible uses of lexical data and support users with more flexibility, for instance in assisting human translation. In this article, we give a short and easy-to-understand introduction to the problematic nature of the storage, display and interpretation of lexical data. We then describe the main methods and specifications used to build and represent lexical data.
We report on finished work in a project that is concerned with providing methods, tools, best practice guidelines, and solutions for sustainable linguistic resources. The article discusses several general aspects of sustainability and introduces an approach to normalizing corpus data and metadata records. Moreover, the architecture of the sustainability platform implemented by the authors is described.
This article introduces the topic of ‘‘Multilingual language resources and interoperability’’. We start with a taxonomy and parameters for classifying language resources. Later we provide examples and issues of interoperatability, and resource architectures to solve such issues. Finally we discuss aspects of linguistic formalisms and interoperability.
This article shows that the TEI tag set for feature structures can be adopted to represent a heterogeneous set of linguistic corpora. The majority of corpora is annotated using markup languages that are based on the Annotation Graph framework, the upcoming Linguistic Annotation Format ISO standard, or according to tag sets defined by or based upon the TEI guidelines. A unified representation comprises the separation of conceptually different annotation layers contained in the original corpus data (e.g. syntax, phonology, and semantics) into multiple XML files. These annotation layers are linked to each other implicitly by the identical textual content of all files. A suitable data structure for the representation of these annotations is a multi-rooted tree that again can be represented by the TEI and ISO tag set for feature structures. The mapping process and representational issues are discussed as well as the advantages and drawbacks associated with the use of the TEI tag set for feature structures as a storage and exchange format for linguistically annotated data.
Digital Text Collections, Linguistic Research Data, and Mashups: Notes on the Legal Situation
(2008)
Comprehensive data repositories are an essential part of practically all research carried out in the digital humanities nowadays. For example, library science, literary studies, and computational and corpus linguistics strongly depend on online archives that are highly sustainable and that contain not only digitized texts but also audio and video data as well as additional information such as metadata and arbitrary annotations. Current Web technologies, especially those that are related to what is commonly referred to as the Web 2.0, provide a number of novel functions such as multiuser editing or the inclusion of third-party content and applications that are also highly attractive for research applications in the areas mentioned above. Hand in hand with this development goes a high degree of legal uncertainty. The special nature of the data entails that, in quite a few cases, there are multiple holders of personal rights (mostly copyright) to different layers of data that often have different origins. This article discusses the legal problems of multiple authorships in private, commercial, and research environments. We also introduce significant differences between European and U.S. law with regard to the handling of this kind of data for scientific purposes.