Primitive Part-of-Speech Tagging using Word Length and Sentential Structure
cmp-lg
2007-05-23 v1 Computation and Language
Abstract
It has been argued that, when learning a first language, babies use a series of small clues to aid recognition and comprehension, and that one of these clues is word length. In this paper we present a statistical part of speech tagger which trains itself solely on the number of letters in each word in a sentence.
Cite
@article{arxiv.cmp-lg/9808011,
title = {Primitive Part-of-Speech Tagging using Word Length and Sentential Structure},
author = {Simon Cozens},
journal= {arXiv preprint arXiv:cmp-lg/9808011},
year = {2007}
}
Comments
6 pages