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What Do Language Representations Really Represent?
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In: Computational Linguistics, Vol 45, Iss 2, Pp 381-389 (2019) (2019)
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| 2 |
Tagging a Morphologically Complex Language Using an Averaged Perceptron Tagger: The Case of Icelandic
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In: http://emmtee.net/oe/nodalida13/conference/4.pdf (2013)
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| 3 |
Tagging a Morphologically Complex Language Using an Averaged Perceptron Tagger: The Case of Icelandic
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In: http://su.diva-portal.org/smash/get/diva2%3A624559/FULLTEXT01.pdf (2013)
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Abstract:
ABSTRACT In this paper, we experiment with using Stagger, an open-source implementation of an Averaged Perceptron tagger, to tag Icelandic, a morphologically complex language. By adding languagespecific linguistic features and using IceMorphy, an unknown word guesser, we obtain stateof-the-art tagging accuracy of 92.82%. Furthermore, by adding data from a morphological database, and word embeddings induced from an unannotated corpus, the accuracy increases to 93.84%. This is equivalent to an error reduction of 5.5%, compared to the previously best tagger for Icelandic, consisting of linguistic rules and a Hidden Markov Model.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1036.7804
http://su.diva-portal.org/smash/get/diva2%3A624559/FULLTEXT01.pdf
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| 4 |
Tagging a Morphologically Complex Language Using an Averaged Perceptron Tagger: The Case of Icelandic
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In: http://www.ru.is/faculty/hrafn/papers/icestagger.pdf (2013)
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