Dorte Haltrup Hansen

Also published as: Dorte H. Hansen


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Facilitating Metadata Interoperability in CLARIN-DK
Lene Offersgaard | Dorte Haltrup Hansen
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

The issue for CLARIN archives at the metadata level is to facilitate the user’s possibility to describe their data, even with their own standard, and at the same time make these metadata meaningful for a variety of users with a variety of resource types, and ensure that the metadata are useful for search across all resources both at the national and at the European level. We see that different people from different research communities fill in the metadata in different ways even though the metadata was defined and documented. This has impacted when the metadata are harvested and displayed in different environments. A loss of information is at stake. In this paper we view the challenges of ensuring metadata interoperability through examples of propagation of metadata values from the CLARIN-DK archive to the VLO. We see that the CLARIN Community in many ways support interoperability, but argue that agreeing upon standards, making clear definitions of the semantics of the metadata and their content is inevitable for the interoperability to work successfully. The key points are clear and freely available definitions, accessible documentation and easily usable facilities and guidelines for the metadata creators.


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Using TEI, CMDI and ISOcat in CLARIN-DK
Dorte Haltrup Hansen | Lene Offersgaard | Sussi Olsen
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This paper presents the challenges and issues encountered in the conversion of TEI header metadata into the CMDI format. The work is carried out in the Danish research infrastructure, CLARIN-DK, in order to enable the exchange of language resources nationally as well as internationally, in particular with other partners of CLARIN ERIC. The paper describes the task of converting an existing TEI specification applied to all the text resources deposited in DK-CLARIN. During the task we have tried to reuse and share CMDI profiles and components in the CLARIN Component Registry, as well as linking the CMDI components and elements to the relevant data categories in the ISOcat Data Category Registry. The conversion of the existing metadata into the CMDI format turned out not to be a trivial task and the experience and insights gained from this work have resulted in a proposal for a work flow for future use. We also present a core TEI header metadata set.

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Encompassing a spectrum of LT users in the CLARIN-DK Infrastructure
Lina Henriksen | Dorte Haltrup Hansen | Bente Maegaard | Bolette Sandford Pedersen | Claus Povlsen
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

CLARIN-DK is a platform with language resources constituting the Danish part of the European infrastructure CLARIN ERIC. Unlike some other language based infrastructures CLARIN-DK is not solely a repository for upload and storage of data, but also a platform of web services permitting the user to process data in various ways. This involves considerable complications in relation to workflow requirements. The CLARIN-DK interface must guide the user to perform the necessary steps of a workflow; even when the user is inexperienced and perhaps has an unclear conception of the requested results. This paper describes a user driven approach to creating a user interface specification for CLARIN-DK. We indicate how different user profiles determined different crucial interface design options. We also describe some use cases established in order to give illustrative examples of how the platform may facilitate research.


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A Distributed Resource Repository for Cloud-Based Machine Translation
Jörg Tiedemann | Dorte Haltrup Hansen | Lene Offersgaard | Sussi Olsen | Matthias Zumpe
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

In this paper, we present the architecture of a distributed resource repository developed for collecting training data for building customized statistical machine translation systems. The repository is designed for the cloud-based translation service integrated in the Let'sMT! platform which is about to be launched to the public. The system includes important features such as automatic import and alignment of textual documents in a variety of formats, a flexible database for meta-information using modern key-value stores and a grid-based backend for running off-line processes. The entire system is very modular and supports highly distributed setups to enable a maximum of flexibility and scalability. The system uses secure connections and includes an effective permission management to ensure data integrity. In this paper, we also take a closer look at the task of sentence alignment. The process of alignment is extremely important for the success of translation models trained on the platform. Alignment decisions significantly influence the quality of SMT engines.

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Creation of an Open Shared Language Resource Repository in the Nordic and Baltic Countries
Andrejs Vasiļjevs | Markus Forsberg | Tatiana Gornostay | Dorte Haltrup Hansen | Kristín Jóhannsdóttir | Gunn Lyse | Krister Lindén | Lene Offersgaard | Sussi Olsen | Bolette Pedersen | Eiríkur Rögnvaldsson | Inguna Skadiņa | Koenraad De Smedt | Ville Oksanen | Roberts Rozis
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

The META-NORD project has contributed to an open infrastructure for language resources (data and tools) under the META-NET umbrella. This paper presents the key objectives of META-NORD and reports on the results achieved in the first year of the project. META-NORD has mapped and described the national language technology landscape in the Nordic and Baltic countries in terms of language use, language technology and resources, main actors in the academy, industry, government and society; identified and collected the first batch of language resources in the Nordic and Baltic countries; documented, processed, linked, and upgraded the identified language resources to agreed standards and guidelines. The three horizontal multilingual actions in META-NORD are overviewed in this paper: linking and validating Nordic and Baltic wordnets, the harmonisation of multilingual Nordic and Baltic treebanks, and consolidating multilingual terminology resources across European countries. This paper also touches upon intellectual property rights for the sharing of language resources.


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Quality Indicators of LSP Texts — Selection and Measurements Measuring the Terminological Usefulness of Documents for an LSP Corpus
Jakob Halskov | Dorte Haltrup Hansen | Anna Braasch | Sussi Olsen
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

This paper describes and evaluates a prototype quality assurance system for LSP corpora. The system will be employed in compiling a corpus of 11 M tokens for various linguistic and terminological purposes. The system utilizes a number of linguistic features as quality indicators. These represent two dimensions of quality, namely readability/formality (e.g. word length and passive constructions) and density of specialized knowledge (e.g. out-of-vocabulary items). Threshold values for each indicator are induced from a reference corpus of general (fiction, magazines and newspapers) and specialized language (the domains of Health/Medicine and Environment/Climate). In order to test the efficiency of the indicators, a number of terminologically relevant, irrelevant and possibly relevant texts are manually selected from target web sites as candidate texts. By applying the indicators to these candidate texts, the system is able to filter out non-LSP and “poor” LSP texts with a precision of 100% and a recall of 55%. Thus, the experiment described in this paper constitutes fundamental work towards a formulation of ‘best practice’ for implementing quality assurance when selecting appropriate texts for an LSP corpus. The domain independence of the quality indicators still remains to be thoroughly tested on more than just two domains.


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“Human Language Technology Elements in a Knowledge Organisation System - The VID Project”
Costanza Navarretta | Bolette Sandford Pedersen | Dorte Haltrup Hansen
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)

This paper describes how Human Language Technologies and linguistic resources are used to support the construction of components of a knowledge organisation system. In particular we focus on methodologies and resources for building a corpus-based domain ontology and extracting relevant metadata information for text chunks from domain-specific corpora.

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Ontological resources and question answering
Roberto Basili | Dorte H. Hansen | Patrizia Paggio | Maria Teresa Pazienza | Fabio Massimo Zanzotto
Proceedings of the Workshop on Pragmatics of Question Answering at HLT-NAACL 2004