Tiny Corpus Applications with Transformation-Based Error-Driven Learning : Evaluations of Automatic Grammar Induction and Partial Parsing of SaiSiyat

摘要

This paper reports a preliminary result on automatic grammar induction based on the framework of Brill and Markus (1992) and binary-branching syntactic parsing of Esperanto and SaiSiyat (a Formosan language). Automatic grammar induction requires large corpus and is found implausible to process endangered minor languages. Syntactic parsing, on the contrary, needs merely tiny corpus and works along with corpora segmented by intonation-unit which results in high accuracy.