Automatic Word Spacing Using Hidden Markov Model

Automatic Word Spacing Using Hidden Markov Model for Refining Korean Text Corpora

This paper proposes a word spacing model using a hidden Markov model (HMM) for re ning Korean raw text corpora. Previous statistical approaches for automatic word spacing have used models that make use of inaccurate probabilities because they do not consider the previous spacing state. We consider word spacing problem as a classi cation problem such as Part-of-Speech (POS) tagging and have expe...

Holistic Farsi handwritten word recognition using gradient features

In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using the Self Organizing Map (SOM). In this method each word is modeled using the discrete Hidde...

Hidden Markov Model-Based Korean Part-of-Speech Tagging Considering High Agglutinativity, Word-Spacing, and Lexical Correlativity

Abnormality Detection in a Landing Operation Using Hidden Markov Model

The air transport industry is seeking to manage risks in air travels. Its main objective is to detect abnormal behaviors in various flight conditions. The current methods have some limitations and are based on studying the risks and measuring the effective parameters. These parameters do not remove the dependency of a flight process on the time and human decisions. In this paper, we used an HMM...

A Joint Statistical Model for Simultaneous Word Spacing and Spelling Error Correction for Korean

This paper presents noisy-channel based Korean preprocessor system, which corrects word spacing and typographical errors. The proposed algorithm corrects both errors simultaneously. Using Eojeol transition pattern dictionary and statistical data such as Eumjeol n-gram and Jaso transition probabilities, the algorithm minimizes the usage of huge word dictionaries.