| Atwell E, Demetriou G, Hughes J, Schirin A, Souter C, and Wilcock S. 2000. A comparative evaluation of modern English corpus grammatical annotation schemes. ICAME Journal, vol. 24, pp. 7-23. International Computer Archive of Modern and medieval English, HIT Centre, Bergen University. |
.... Most of this research community is focussed on techniques for detection of possible incoming signals from extraterrestrial intelligent sources (e.g. Turnbull et al. 1999) and algorithms for analysis of these signals to identify intelligent language like characteristics (e.g. Elliott and Atwell 1999, 2000). However, recently debate has turned to the nature of our response, should a signal arrive and be detected. For example, the 50th International Astronautical Congress devoted a full afternoon session to the question of whether and how we should respond to an initial message identified to be of ....
.... Group on Language Engineering Standards (EAGLES) report on parsing annotations (Leech et al. 1996) recognises at least 7 separate yet interdependent sublayers of grammatical analysis which a full parser should aim to recognise; yet none of the state of the art parsers evaluated in (Atwell 1996, Atwell et al. 2000a) were capable of providing all 7 layers of analysis in their output. Different parsers analysed different subsets of these sublayers of grammatical information, making cross parser comparisons and performance evaluations difficult if not meaningless. Furthermore, linguistic analysis at one ....
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Atwell E, Demetriou G, Hughes J, Schiffrin A, Souter C, Wilcock S 2000 A comparative evaluation of modern English corpus grammatical annotation schemes. ICAME Journal 24: 7-23.
.... these could improve accuracy [1,2] The widely used Brill tagger [3] uses constraint rules rather than a statistical bigram model, but these constraints are machine learnt from a pre tagged training corpus, so the system can learn different tagging schemes from different tagged training corpora [15]. The ENGCG approach [10] requires an expert linguist to devise a Constraint Grammar rule set using linguistic knowledge and corpus evidence. Others have extended the statistical bigram approach to more sophisticated statistical models (eg Manning and Schutze [12] however these may require ....
Atwell, Eric, George Demetriou, John Hughes, Amanda Schiffrin, Clive Souter, and Sean Wilcock. 2000. A comparative evaluation of modern English corpus grammatical annotation schemes. ICAME Journal, 24: 7-23. Bergen: International Computer Archive of Modern and medieval English.
.... and teaching Natural Language Processing and Artificial Intelligence university students, some unforeseen applications have been found, e.g. in using the tags to aid data compression of English text (Teahan 1998) and as a guide in the search for extra terrestrial intelligence (Elliott and Atwell 2000, Elliott et al. 2000) 8. Conclusions NLP researchers have not agreed a standard lexico grammatical annotation model for English, so the AMALGAM project has investigated a range of alternative schemes. We have trained a machine learning tagger with several lexico grammatical annotation models, ....
....research project. We are also indebted to the numerous researchers worldwide who helped us by providing advice, data, and documentation, and by proofreading the multitagged Corpus and MultiTreebank. This COLING Workshop paper is an an abridged version of a full paper published in ICAME Journal, (Atwell et al. 2000); we are grateful for the Journal s permission to present our findings to this complementary Workshop audience. To get the full ICAME Journal paper, see http: www.hd.uib.no icame journal.html ....
Atwell, Eric, George Demetriou, John Hughes, Amanda Schiffrin, Clive Souter, and Sean Wilcock. 2000. A comparative evaluation of modern English corpus grammatical annotation schemes. ICAME Journal 24, to appear.
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Atwell E, Demetriou G, Hughes J, Schirin A, Souter C, and Wilcock S. 2000. A comparative evaluation of modern English corpus grammatical annotation schemes. ICAME Journal, vol. 24, pp. 7-23. International Computer Archive of Modern and medieval English, HIT Centre, Bergen University.
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