New PDF release: Recent Advances in Natural Language Processing: Volume II:

By Nicolas Nicolov (Ed.), Ruslan Mitkov (Ed.)

ISBN-10: 902723695X

ISBN-13: 9789027236951

This quantity brings jointly revised types of a variety of papers awarded on the moment foreign convention on “Recent Advances in ordinary Language Processing” (RANLP’97) held in Tzigov Chark, Bulgaria, September 1997. the purpose of the convention was once to provide researchers the chance to offer new ends up in typical Language Processing (NLP) established either on conventional and smooth theories and techniques. The convention acquired gigantic curiosity — 167 submissions from greater than 20 nations. the simplest papers from the court cases have been chosen for this quantity, within the desire that they replicate the main major and promising tendencies (and winning effects) in NLP.
The contributions were grouped in keeping with the next subject matters: tagging, lexical matters and parsing, note experience disambiguation and anaphora solution, semantics, new release, desktop translation, and categorisation and functions. the amount includes an in depth index.

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A. Samuelsson, Christer. 1997a. "Extending N-gram Tagging to Word Graphs". Proceedings of the 2nd International Conference on Recent Advances in Nat­ ural Language Processing (RANLP'97), 21-26. Tzigov Chark, Bulgaria. 1997b. "A Left-to-right Tagger for Word Graphs". Proceedings of the 5th International Workshop on Parsing Technologies (IWPT'97), 171-178. A. Can We Improve Part-of-Speech Tagging by Inducing Probabilistic Part-of-Speech Annotated Lexicons from Large Corpora? NICHOLAS SMITH & T O N Y Lancaster MCENERY University Abstract In this paper we compare the performance of a part-of-speech tag­ ger when using two kinds of lexicon.

And the Automatic Analysis of English. Padró, L. 1996. "POS Tagging Using Relaxation Labelling". 16th Int. Conference on Computational Linguistics (COLING-96), 877-882. Copenhagen. R. 1993. C4-5: Programs for Machine Learning. Morgan Kaufmann. : Samuelsson, C , P. Tapanainen & A. Voutilainen. 1996. "Inducing Constraint Grammars". 3rd Int. Colloquium on Grammatical Inference (ICGI'96), 146155. Montpellier, France, (also appeared as LNAI 1147, Springer). Voutilainen, A. & L. Padró. 1997. "Developing a Hybrid NP Parser".

By doing this, the nodes can be processed in number order as soon as enough of the remaining input has been seen. The Back pointer indi­ cates how far complete processing has progressed. The Front and Last Node pointers indicate how far sufficient information has been seen to complete processing. 8 Discussion We started out by generalizing the standard model for HMM-based part-ofspeech tagging of input word strings to handle input word graphs, where each word has been assigned a probability. We found that the key problem to solve was a more general one, namely to rescore the arc probabilities of a labelled graph given a label N-gram model and to search it for the most probable label sequence under the N-gram model.

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Recent Advances in Natural Language Processing: Volume II: Selected Papers from RANLP '97 by Nicolas Nicolov (Ed.), Ruslan Mitkov (Ed.)


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