Natural Language Analysis Using a Network Model - Modification Deciding Network -

نویسندگان

  • Masahiko Ishikawa
  • Ryoichi Sugimura
چکیده

We have developed an original analyzing method using the network structure called the MDN. The network is similar to that of a neural network. In the MDN, all of the modification candidates can be compared in parallel, and it can decide the most appropriate interpretation effectively. It allows high quality of natural language analysis, and high analyzing speed. In this paper we will describe Japanese sentence analysis using the MDN, and then describe discussions about the MDN, comparing with sequential analysis, neural networks, and interactive analysis.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Steady Flow Analysis and Modeling of the Gas Distribution Network Using the Electrical Analogy (RESEARCH NOTE)

The mathematical modeling of a gas network is a powerful tool in order to identify the behavior of system under the different conditions. The modeling can be performed both for the steady state and unsteady state conditions. It is possible to use the fluid flow basic governing equations or the electrical analogy concept for developing the model. The second approach provides a simpler and more r...

متن کامل

Crack Detection of Timoshenko Beams Using Vibration Behavior and Neural Network

Abstract: In this research, at first, the natural frequencies of a cracked beam are obtained analytically, then, location and depth of a crack in beam is identified by neural network method. The research is applied on a beam with an open crack for three different boundary conditions. For this purpose, at first, the natural frequencies of the cracked beam are obtained analytically, to get the ex...

متن کامل

Risk Analysis of Operating Room Using the Fuzzy Bayesian Network Model

To enhance Patient’s safety, we need effective methods for risk management. This work aims to propose an integrated approach to risk management for a hospital system. To improve patient’s safety, we should develop flexible methods where different aspects of risk and type of information are taken into consideration. This paper proposes a fuzzy Bayesian network to model and analyze risk in the op...

متن کامل

Identification and ranking risks of horizontal directional drilling for oil & gas wells by using fuzzy analytic network process, a case study for Gachsaran oil field wells

Risk ranking of Horizontal Directional Drilling (HDD) for gas and oil wells is a key criterion in the project feasibility, pricing and for introducing a risk management strategy that aims to reduce the number of failures in the installation phase and its negative consequences. HDD is currently widely used in drilling wells in Iran, but research in the area of identification and risks ranking of...

متن کامل

Modeling the effect of different infrared treatment on B. cereus in cardamom seeds and using genetic algorithm-artificial neural network

In this study, the effect of infrared (IR) on decontamination of Bacillus cereus in cardamom seeds were determined at difference IR radiation powers (100, 200, and 300 W), different sample distances from radiation source (5, 10 and 15 cm) and various holding times. The most successful reduction in B. cereus numbers (5.11 log CFU/g) was achieved after a holding time of 8 min at...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005