Developing a tagset for automated part - of - speech tagging in Urdu Andrew
نویسنده
چکیده
While part-of-speech tagging is an established technology for Western European languages such as English or Spanish, extending the technique to Urdu presents a range of interesting issues. There are some problems associated with the writing system, e.g. the problems of locating token boundaries in the Urdu version of the Arabic script. However, there are also linguistic issues. Little work has hitherto been done in the area of tagset creation for Urdu. The tagset discussed here was created in accordance with the EAGLES guidelines for morphosyntactic annotation of corpora. Although these guidelines were written to cover the languages of the European Union, they can be applied fairly easily to Urdu, which, coming as it does from another branch of the IndoEuropean family, is structurally quite similar. They can also be extended to deal with the idiosyncrasies presented by Urdu grammar. This paper will look at the process of creating one of the necessary resources for the development of a POS tagging system for Urdu, that of a suitable tagset, considering some of the problems encountered along the way.
منابع مشابه
Developing a tagset for automated part-of-speech tagging in Urdu
1. Abstract While part-of-speech tagging is an established technology for Western European languages such as English or Spanish, extending the technique to Urdu presents a range of interesting issues. There are some problems associated with the writing system, e.g. the problems of locating token boundaries in the Urdu version of the Arabic script. However, there are also linguistic issues. Litt...
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Part-of-speech (POS) tagging is the process of labelling tokens in a text with tags that indicate their morphosyntactic category, and has a wide range of applications in computational and corpus linguistics, such as the production of corpus-based dictionaries and grammars. This paper describes an experiment in extending POS tagging to a hitherto untagged language, Urdu. The most challenging tas...
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