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Détection automatique d’une hiérarchie prosodique dans un corpus de parole journalistique
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In: Langue française, N 191, 3, 2016-09-15, pp.123-149 (2016)
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Annotation tools for syntax and named entities in the National Corpus of Polish.
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In: ISSN: 1759-1163 ; EISSN: 1759-1171 ; International Journal of Data Mining, Modelling and Management ; https://hal.archives-ouvertes.fr/hal-01021348 ; International Journal of Data Mining, Modelling and Management, Inderscience, 2013, 5 (2), pp.103-122 (2013)
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On the resolution of ambiguities in the extraction of syntactic categories through chunking
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Country Report and Activity from Thailand: Ontology Construction and Maintenance System in Agricultural Domain
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In: http://naist.cpe.ku.ac.th/downloads/publications/2004/Ontology_Construction_and_Maintenance_System_in_Agricultural_Domain.pdf (2004)
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Using Constraint Grammar for Chunking
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In: http://emmtee.net/oe/nodalida13/conference/27.pdf
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A one-pass valency-oriented chunker for German
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In: http://hal-ens-lyon.archives-ouvertes.fr/docs/01/02/35/55/PDF/ABarbaresi_LTC13_Valency-Chunker-German-paper_v2.pdf
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On the resolution of ambiguities 1 On the Resolution of Ambiguities in the Extraction of Syntactic Categories through Chunking
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In: http://bura.brunel.ac.uk/bitstream/2438/802/1/freudenthal-CSR-all.pdf
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Abstract:
On the resolution of ambiguities 2 In recent years, several authors have investigated how co-occurrence statistics in natural language can act as a cue that children may use to extract syntactic categories for the language they are learning. While some authors have reported encouraging results, it is difficult to evaluate the quality of the syntactic categories derived. It is argued in this paper that traditional measures of accuracy are inherently flawed. A valid evaluation metric needs to consider the well-formedness of utterances generated through a production end. This paper attempts to evaluate the quality of the categories derived from co-occurrence statistics through the use of MOSAIC, a computational model of syntax acquisition that has already been used to simulate several phenomena in child language. It is shown that derived syntactic categories that may appear to be of high quality quickly give rise to errors that are not typical of child speech. A solution to this problem is suggested in the form of a chunking mechanism that serves to differentiate between alternative grammatical functions of identical word forms. Results are evaluated in terms of the error rates in utterances produced by the system as well as the quantitative fit to the phenomenon of subject omission.
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Keyword:
Chunking; Co-occurrence statistics; Cognitive Modelling On the resolution of ambiguities 3; Distributional learning; Language Acquisition; MOSAIC; Syntactic Categories
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.583.1495
http://bura.brunel.ac.uk/bitstream/2438/802/1/freudenthal-CSR-all.pdf
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