良質な用例を大規模なコーパスから自動的に抽出できるモデルの構築および試作版の開発

点击翻译按钮获取中文摘要

The aim of this project was to develop a model for selecting pedagogically valid Japanese example sentences from a general corpus, by investigating automatically measurable criteria of readability, typicality and informativity. We collected example sentences from learners' dictionaries, reference works, graded readers and learner corpora, and constructed a graded corpus of example sentences, to be used as a data set for verifying the usabililty of existing readability formulas on single sentences or short usage examples for learners of Japanese as a foreign language. We experimented using existing readability formulas on these graded example sentences, and found that while the formulas work well for longer texts, they are not applicable to single sentences.We further annotated a set of sentences extracted from a web corpus, manually scoring their readability and informativity for learners of Japanese as a foreign language, to investigate measurable criteria of readable and informative sentences. The analysis of these criteria is still in progress. We are currently exploring possible interfaces to the corpus of constructed single example sentences and the annotated set of sentences extracted from texts to be used by learners, teachers and lexicographers of Japanese as a foreign language.