Abstract. We compare two types of methods which deal with unknown words in the context of computational grammars. Methods of.

Abstract This paper presents a statistical approach to unknown word type prediction for a deep HPSG grammar. Our motivation is to enhance robustness in deep ...

An empirical comparison of Unknown Word Prediction Methods. K. Cholakov, G.J.M. van Noord, V. Kordoni, Y. Zhang. Research output: Chapter in Book/Report ...

Bibliographic details on An Empirical Comparison of Unknown Word Prediction Methods.

A method for processing sentences which contain unknown words, i. e. words for which no lexical entry exists, is presented. There are three different stages ...

The first technique is the simplest of the three. It ran- domly divides a hard word into soft words with the same frequency as in the oracle data. For ...

An empirical comparison of unknown word prediction methods. In Proceedings of the Fifth International Joint Conference on Natural Language Processing ...

and then estimate unknown parameters using a word-document matrix. Thus, the major differences among generative models arise from modeling methods for ...

Apr 28, 2009 · The seven missing data techniques were compared by artificially simulating different proportions, patterns, and mechanisms of missing data using ...

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