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81
The PoS Tagger of Turin University
"... parsing system of Turin University. The PoS Tagger is based on a set of disambiguation rules developed manually. The rules are grouped into ambiguity sets, each of which is associated with a set of PoS. Some intra-category rules are defined to assign features to words. The paper includes a brief des ..."
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parsing system of Turin University. The PoS Tagger is based on a set of disambiguation rules developed manually. The rules are grouped into ambiguity sets, each of which is associated with a set of PoS. Some intra-category rules are defined to assign features to words. The paper includes a brief
Shallow Parsing with PoS Taggers and Linguistic Features
- JOURNAL OF MACHINE LEARNING RESEARCH
, 2002
"... Three data-driven publicly available part-of-speech taggers are applied to shallow parsing of Swedish texts. The phrase structure is represented by n00 types of phrases in a hierarchical structure containtu labels for every con81E1wN t type the token belongs to in the parse tree. The enw din is base ..."
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Cited by 14 (4 self)
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Three data-driven publicly available part-of-speech taggers are applied to shallow parsing of Swedish texts. The phrase structure is represented by n00 types of phrases in a hierarchical structure containtu labels for every con81E1wN t type the token belongs to in the parse tree. The enw din
The Open Source Tagger HunPoS for Swedish
- In Proceedings of the 17th Nordic Conference of Computational Linguistics (NODALIDA
, 2009
"... HunPoS, a freely available open source part-of-speech tagger—a reimplementa-tion of one of the best performing taggers, TnT—is applied to Swedish and evaluated when the tagger is trained on various sizes of training data. The tagger’s accuracy is compared to other data-driven taggers for Swedish. Th ..."
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Cited by 2 (0 self)
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HunPoS, a freely available open source part-of-speech tagger—a reimplementa-tion of one of the best performing taggers, TnT—is applied to Swedish and evaluated when the tagger is trained on various sizes of training data. The tagger’s accuracy is compared to other data-driven taggers for Swedish
CombiTagger: A System for Developing Combined Taggers
- Proceedings of the Twenty-Second International FLAIRS Conference, Sanibel Island
, 2009
"... The main task of part-of-speech (PoS) tagging is to as-sign the appropriate morphosyntactic category to each word in a sentence. A combination of different PoS tag-gers usually results in higher tagging accuracy than ob-tained by the use of only a single tagger. We present a new language and tagset ..."
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Cited by 4 (2 self)
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The main task of part-of-speech (PoS) tagging is to as-sign the appropriate morphosyntactic category to each word in a sentence. A combination of different PoS tag-gers usually results in higher tagging accuracy than ob-tained by the use of only a single tagger. We present a new language and tagset
Exploring the human effect on the accuracy of PoS taggers
, 2009
"... This paper explores the impact of inconsistencies stemming from human mistakes on the accuracy of part-of-speech (PoS) taggers in Icelandic. It reveals previously unpublished information regarding work on the original corpus that is now used as a gold standard for Icelandic. With this new knowledge ..."
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This paper explores the impact of inconsistencies stemming from human mistakes on the accuracy of part-of-speech (PoS) taggers in Icelandic. It reveals previously unpublished information regarding work on the original corpus that is now used as a gold standard for Icelandic. With this new knowledge
Comparing a Linguistic and a Stochastic Tagger
- Proceedings of the Thirty-Fifth Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
, 1997
"... Concerning different approaches to automatic PoS tagging: EngCG-2, a constraintbased morphological tagger, is compared in a double-blind test with a state-of-the-art statistical tagger on a common disambiguation task using a common tag set. The ex- periments show that for the same amount of remainin ..."
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Cited by 45 (2 self)
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Concerning different approaches to automatic PoS tagging: EngCG-2, a constraintbased morphological tagger, is compared in a double-blind test with a state-of-the-art statistical tagger on a common disambiguation task using a common tag set. The ex- periments show that for the same amount
Phrasal Parsing by Using Data-Driven PoS Taggers
"... Three data-driven algorithms are applied to shallow parsing of Swedish texts by using PoS taggers as the basis for parsing. The constituent structure is represented by nine types of phrases in a hierarchical structure containing labels for every constituent type the token belongs to. The results sho ..."
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Cited by 2 (1 self)
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Three data-driven algorithms are applied to shallow parsing of Swedish texts by using PoS taggers as the basis for parsing. The constituent structure is represented by nine types of phrases in a hierarchical structure containing labels for every constituent type the token belongs to. The results
Size is not Everything Genre Balance in Bootstrapping a Swedish PoS Tagger
"... Part-of-speech tagging is a basic component of natural language processing, and as such, needs to be as accurate as possible, or any subsequent processing will suffer. For Swedish, most tagger models ..."
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Cited by 1 (1 self)
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Part-of-speech tagging is a basic component of natural language processing, and as such, needs to be as accurate as possible, or any subsequent processing will suffer. For Swedish, most tagger models
Brill's rule-based PoS tagger
"... ing of systems which may automatically derive word classes and the bracketing structure of sentences, assigning nonterminal labels to the bracketing structure and improving prepositional phrase attachment (see Brill, 1992, 1993a, 1993b, 1995b). In this work the part of speech tagger, i.e. learning ..."
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ing of systems which may automatically derive word classes and the bracketing structure of sentences, assigning nonterminal labels to the bracketing structure and improving prepositional phrase attachment (see Brill, 1992, 1993a, 1993b, 1995b). In this work the part of speech tagger, i.e. learning
Extending the View Explorations in Bootstrapping a Swedish PoS Tagger
"... State-of-the-art statistical part-of-speech taggers mainly use information on tag bi- or trigrams, depending on the size of the train-ing corpus. Some also use lexical emission probabilities above unigrams with benefi-cial results. In both cases, a wider con-text usually gives better accuracy for a ..."
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Cited by 1 (0 self)
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State-of-the-art statistical part-of-speech taggers mainly use information on tag bi- or trigrams, depending on the size of the train-ing corpus. Some also use lexical emission probabilities above unigrams with benefi-cial results. In both cases, a wider con-text usually gives better accuracy for a
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