POS-Tagging of Historical Language Data: First Experiments
نویسنده
چکیده
This paper deals with part-of-speech tagging applied to manuscripts written in Middle High German. We present the results of a set of experiments that involve different levels of token normalization and dialect-specific subcorpora. As expected, tagging with “normalized”, quasi-standardized tokens performs best (accuracy > 91%). Training on slightly simplified word forms or on larger corpora of heterogeneous texts does not result in considerable improvement.
منابع مشابه
An improved joint model: POS tagging and dependency parsing
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In this paper, the role of Part-of-Speech (POS) tagging for parsing in automatic processing of the Persian language is studied. To this end, the impact of the quality of POS tagging as well as the impact of the quantity of information available in the POS tags on parsing are studied. To reach the goals, three parsing scenarios are proposed and compared. In the first scenario, the parser assigns...
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In this paper, we investigate unsupervised and semi-supervised methods for part-of-speech (PoS) tagging in the context of historical German text. We locate our research in the context of Digital Humanities where the non-canonical nature of text causes issues facing an Natural Language Processing world in which tools are mainly trained on standard data. Data deviating from the norm requires tool...
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تاریخ انتشار 2010