文章基本信息

标题：A Statistical Model for Morphology Inspired by the Amis Language
本地全文：下载
作者：Isabelle Bril ; Achraf Lassoued ; Michel de Rougemont 等
期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2021
卷号：13
期号：2
页码：1-11
语种：English
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：We introduce a statistical model for analysing the morphology of natural languages based on their affixes. The model was inspired by the analysis of Amis, an Austronesian language with a rich morphology. As words contain a root and potential affixes, we associate three vectors with each word: one for the root, one for the prefixes, and one for the suffixes. The morphology captures semantic notions and we show how to approximately predict some of them, for example the type of simple sentences using prefixes and suffixes only. We then define a Sentence vector s associated with each sentence, built from the prefixes and suffixes of the sentence and show how to approximately predict a derivation tree in a grammar.