Foundations of statistical natural language processing
Foundations of statistical natural language processing
Information Structure in Subordinate and Subordinate-Like Clauses
Journal of Logic, Language and Information
A computational analysis of information structure using parallel expository texts in english and japanese
Hi-index | 0.00 |
To account for a type of contextual effect on word order, some researchers propose theme-first (old things first) principles. However, their universality has been questioned due to the existence of counterexamples and the possibility of arguably rheme-first (new things first) languages. Capturing the contextual effects on theme-rheme ordering (information structure) in terms of information theory, this paper argues that word order is affected by the distribution of informativeness, an idea also consistent with counterexamples and rheme-first languages.