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We describe a web-based corpus query system, Glossa, which combines the expressiveness of regular query languages with the user-friendliness of a graphical interface. Since corpus users are usually linguists with little interest in technical matters, we have developed a system where the user need not have any prior knowledge of the search system.(More)
A general purpose text corpus meant for linguists and lexicographers needs to satify quality criteria at at least four different levels. The first two criteria are fairly well established; the corpus should have a wide variety of texts and be tagged according to a fine-grained system. The last two criteria are much less widely appreciated, unfortunately.(More)
In this paper, we describe the Nordic Dialect Corpus, which has recently been completed. The corpus has a variety of features that combined makes it an advanced tool for language researchers. These features include: Linguistic contents (dialects from five closely related languages), annotation (tagging and two types of transcription), search interface(More)
Despite the existence of effective methods that solve named entity recognition tasks for such widely used languages as English, there is no clear answer which methods are the most suitable for languages that are substantially different. In this paper we attempt to solve a named entity recognition task for Lithuanian, using a supervised machine learning(More)
This paper describes the Nordic Dialect Corpus, a corpus that consists of transcribed spoken dialects, with sound and video, from five North European languages (Danish, Faroese, Finnish, Icelandic, Norwegian and Swedish). The paper focuses on recent developments that have been added as a result of wishes expressed by the linguist users. These include map(More)
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