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CSO
2009
IEEE
14 years 11 months ago
The Temporal-Spatial Modeling of Vocabulary for Language Monitoring
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...
Wei He, Yu Zou, Yonglin Teng, Min Hou, Weibin Zhu
IEAAIE
2004
Springer
15 years 3 months ago
Natural Language Requirements Analysis and Class Model Generation Using UCDA
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...
Dong Liu, Kalaivani Subramaniam, Armin Eberlein, B...
IRAL
2000
ACM
15 years 2 months ago
Content-based language models for spoken document retrieval
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...
Hsin-Min Wang, Berlin Chen
ICML
2005
IEEE
15 years 10 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
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 ...
LREC
2010
169views Education» more  LREC 2010»
14 years 4 months ago
Language Identification of Short Text Segments with N-gram Models
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...
Tommi Vatanen, Jaakko J. Väyrynen, Sami Virpi...