In order to extract catchwords, new words and other kinds of words for language monitoring, this paper propose the temporal-spatial modeling, which seemed the sort of words as the...
This paper presents a methodology to automate natural language requirements analysis and class model generation based on the Rational Unified Process (RUP). Use-case language schem...
Spoken document retrieval (SDR) has been extensively studied in recent years because of its potential use in navigating large multimedia collections in the near future. This paper...
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
There are many accurate methods for language identification of long text samples, but identification of very short strings still presents a challenge. This paper studies a languag...