Removing grammar ambiguity of word forms by statistical methods

Statistical Sentence Condensation using Ambiguity Packing and Stochastic Disambiguation Methods for Lexical-Functional Grammar

We present an application of ambiguity packing and stochastic disambiguation techniques for Lexical-Functional Grammars (LFG) to the domain of sentence condensation. Our system incorporates a linguistic parser/generator for LFG, a transfer component for parse reduction operating on packed parse forests, and a maximum-entropy model for stochastic output selection. Furthermore, we propose the use...

Statistical Parsing with a Context-Free Grammar and Word Statistics

We describe a parsing system based upon a language model for English that is, in turn, based upon assigning probabilities to possible parses for a sentence. This model is used in a parsing system by nding the parse for the sentence with the highest probability. This system outperforms previous schemes. As this is the third in a series of parsers by di erent authors that are similar enough to in...

Ambiguity Management in Grammar Writing

When lingusitically motivated grammars are implemented on a larger scale, and applied to real-life corpora, keeping track of ambiguity sources becomes a difficult task. Yet it is of great importance, since unintended ambiguities arising from underrestricted rules or interactions have to be distinguished from linguistically warranted ambiguities. In this paper we report on various tools in the X...

Word Grammar

Relaxation-Based Word Identification for Removing the Ambiguity in phonetic Chinese Input

The fact that there exists a large number of homonyms in Chinese characters is a problem for the phonetic input method which is favored by most casual users for Chinese input into computers. A new