An Integrated Parsing Method using Stochastic Information and Grammatical Constraints

TOWARDS EFFICIENT STATISTICAL PARSING USING LEXICALIZED GRAMMATICAL INFORMATION by

For a long time, the goal of wide-coverage natural language parsers had remained elusive. Much progress has been made recently, however, with the development of lexicalized statistical models of natural language parsing. Although lexicalized tree adjoining grammar (TAG) is a lexicalized grammatical formalism whose development predates these recent advances, its application in lexicalized statis...

Inland wetlands mapping and vulnerability assessment using an integrated geographic information system and remote sensing techniques

The understanding of inland wetlands’ distribution and their level of vulnerability is important to enhance management and conservation efforts. The aim of the study was to map inland wetlands and assess their distribution pattern and vulnerability to natural and human disturbances such as climate change (temperature increase) and human activities by the year 2080. Inland wetland types i.e. for...

Universal Parsing and Grammatical Variation

Parsing Parallel Grammatical Representations

~:aditional accounts of quantifier scope employ qualitative constraints or rules to account for scoping preferences. This paper outlines a feature-based parsing algorithm for a grammar with multiple simultaneous levels of representation, one of which corresponds to a partial ordering among quantifiers according to scope. The optimal such ordering (as well as the ranking of other orderings) is d...

Parsing Parallel Grammatical Representation

Traditional accounts of quantifier scope employ qualitative constraints or rules to account for scoping preferences. This paper outlines a feature-based parsing algorithm for a grammar with multiple simultaneous levels of representation, one of which corresponds to a partial ordering among quantifiers according to scope. The optimal such ordering (as well as the ranking of other orderings) is d...