oalib

Publish in OALib Journal

ISSN: 2333-9721

APC: Only $99

Submit

Any time

2019 ( 116 )

2018 ( 998 )

2017 ( 962 )

2016 ( 925 )

Custom range...

Search Results: 1 - 10 of 70788 matches for " ZHAO Tie-Jun "
All listed articles are free for downloading (OA Articles)
Page 1 /70788
Display every page Item
Chinese Information Processing and Its Prospects
Sheng Li,Tie-Jun Zhao,
Sheng
,Li,and,Tie-Jun,Zhao

计算机科学技术学报 , 2006,
Abstract: The paper presents some main progresses and achievements in Chinese information processing. It focuses on six aspects, i.e., Chinese syntactic analysis, Chinese semantic analysis, machine translation, information retrieval, information extraction, and speech recognition and synthesis. The important techniques and possible key problems of the respective branch in the near future are discussed as well.
An Efficient Algorithm for EM Scattering by Electrically Large Dielectric Objects Using Mr-Qeb Iterative Scheme and Cg-FFT Method
Lei Zhao;Tie-Jun Cui;Wei-Dong Li
PIER , 2007, DOI: 10.2528/PIER06121902
Abstract: In this paper, an efficient algorithm is presented to analyze the electromagnetic scattering by electrically large-scale dielectric objects. The algorithm is based on the multi-region and quasiedge buffer (MR-QEB) iterative scheme and the conjugate gradient (CG) method combined with the fast Fourier transform (FFT). This algorithm is done by dividing the computational domain into small sub-regions and then solving the problem in each sub-region with buffer area using the CG-FFT method. Considering the spurious edge effects, local quasi-edge buffer regions are used to suppress these unwanted effects and ensure the stability. With the aid of the CG-FFT method, the proposed algorithm is very efficient, and can solve very largescale problems which cannot be solved using the conventional CG-FFT method in a personal computer. The accuracy and efficiency of the proposed algorithm are verified by comparing numerical results with analytical Mie-series solutions for dielectric spheres.
Summarization of Results of Program Funded by NSFC in the Field of Natural Language Processing in Recent Years
国家自然科学基金在自然语言处理领域近年来资助的已结题项目综述

XU Lin,ZHAO Tie-Jun,
徐琳
,赵铁军

软件学报 , 2005,
Abstract: In this paper, summarization of results of program funded by NSFC in the field of natural language processing in recent years is given, including summarization of Chinese information processing technology, natural language processing application technology, minority language information processing technology.
Sub-Entire-Domain Basis Function Method for Irrectangular Periodic Structures
Wei Bing Lu;Qian Yi Zhao;Tie-Jun Cui
PIER B , 2008, DOI: 10.2528/PIERB08020401
Abstract: The Sub-Entire-Domain (SED) basis function method has been applied to solve electromagnetic problems of irrectangular periodic structures with finite sizes efficiently. Three typical irrectangular periodic structures such as parallelogrammic periodic structures, triangular periodic structures, and trapeziform periodic structures are investigated using the SED basis function method. Just as the SED basis functions for rectangular periodic structures, the new SED basis functions for irrectangular periodic structures are defined on the support of each single cell, and the corresponding dummy cells are introduced to obtain the new SED basis functions. Using the proposed SED basis function method, the original large-scale problem is decomposed into two small-size problems. One is the determination of new SED basis functions, and the other is to solve the whole problem using MoM and SED basis functions. Numerical examples are given to prove the validity and efficiency of the new method.
Identity Attributes Mining, Metrics Composition and Information Fusion Implementation Using Fuzzy Inference System
Jackson Phiri,Tie-Jun Zhao,Jameson Mbale
Journal of Software , 2011, DOI: 10.4304/jsw.6.6.1025-1033
Abstract: Term weight a technique in text mining and entropy from Shannon’s information theory are both used to quantify information. In this paper they are used to develop an identity attribute metrics model. Using term weight and entropy metrics values, Sugeno-style fuzzy inference system is envisaged in the implementation of information fusion in a multimode authentication system. This is in an effort to provide a solution to the cases of identity theft and fraud. Three corpora are used to mine the identity attributes and generate the statistical information required to compose a metric model from a set of questionnaires and the application forms for the various services. Triangular and sigmoidally shaped membership functions are used in the fuzzification of the three inputs categorised as biometrics, pseudo metrics and device metrics.
Using Temporal Information in Topic Detection
时间信息在话题检测中的应用研究

ZHAO Hua,ZHAO Tie-Jun,ZHAO Xia,
赵华
,赵铁军,赵霞

计算机科学 , 2008,
Abstract: In order to overcome the shortcoming of the static threshold in the topic detection research,we propose a dynamic threshold model incorporating temporal information as a major component.In this model,we explore a ratio method to select the optimal topic.Experimental results indicate that the model proposed in this paper is very successful.
Comparison of Web-Based Unsupervised Translation Disambiguation Word Model and N-gram Model
基于Web的无指导译文消歧词模型与N-gram模型及对比研究

Liu Peng-yuan,Zhao Tie-jun,
刘鹏远
,赵铁军

电子与信息学报 , 2009,
Abstract: This paper describes and compares web-based unsupervised translation disambiguation word model and N-gram model. For acquiring knowledge of disambiguation, both two models put differents queries to search engine and statistic page counts which it returned. Word model defines Web Bilingual Relatedness(WBR) between Chinese words and English words and disambiguates word sense by maxmizing Web Bilingual Relatedness between contexts and the translations of target word. Based on the hypothesis that the pattern of a polysemant is different while different sense of it is being used, N-gram model makes disambiguation by statisticing and analyzing N-grams of words in different semantic class of that polysemant. Both of the two models are evaluated on the SemEval2007 task#5, achieving the top performance against the state-of-the-art comparable unsupervised systems. Furthmore, N-gram model outperforms word model and the performence has potential for promotion when combine the results of that two class model.
Statistical Analysis for Chinese-English Verb Subcategorization
汉英动词次范畴化对应类型的统计分析

HAN Xi-wu,ZHAO Tie-jun,
韩习武
,赵铁军

计算机科学 , 2010,
Abstract: Based on large scale Chinese-English parallel corpus,this paper described a systematic experiment of statistical analysis for bilingual verb subcategorization.Firstly,with lexical and grammatical compatibility as heuristics,probabilistic distributions of 654 bilingual subcategorization frames were estimated by means of a two-fold MLE filtering method.Then,linguistic classification of the frames was determined according to Chinese and English syntax.Finally,linguistic classes for each frame were labeled via ...
Lepton-flavor violation and $(g-2)_\mu$ in the $\mu\nu$SSM
Zhang, Hai-Bin;Feng, Tai-Fu;Zhao, Shu-Min;Gao, Tie-Jun
High Energy Physics - Phenomenology , 2013, DOI: 10.1016/j.nuclphysb.2013.04.018
Abstract: Within framework of the $\mu$ from $\nu$ Supersymmetric Standard Model ($\mu\nu$SSM), exotic singlet right-handed neutrino superfields induce new sources for lepton-flavor violation. In this work, we investigate some lepton-flavor violating processes in detail in the $\mu\nu$SSM. The numerical results indicate that the branching ratios for lepton-flavor violating processes $\mu\rightarrow e\gamma$, $\tau\rightarrow\mu\gamma$ and $\mu\rightarrow3e$ can reach $10^{-12}$ when $\tan\beta$ is large enough, which can be detected in near future. We also discuss the constraint on the relevant parameter space of the model from the muon anomalous magnetic dipole moment. In addition, from the scalars for the $\mu\nu$SSM we strictly separate the Goldstone bosons, which disappear in the physical gauge.
Unsupervised Translation Disambiguation Based on Web Indirect Association of Bilingual Word
基于双语词汇Web间接关联的无指导译文消歧

LIU Peng-Yuan,ZHAO Tie-Jun,
刘鹏远
,赵铁军

软件学报 , 2010,
Abstract: To solve the problems of data sparseness and knowledge acquisition in translation disambiguation and WSD (word sense disambiguation), this paper introduces a fully unsupervised method, which is based on Web mining and Web indirect association of bilingual words. It provides new knowledge of translation disambiguation. It assumes that word sense can be determined by indirect association of bilingual words. Based on Web, this paper revises four common methods of indirect association, and designs three decision methods. These methods are evaluated on a gold standard Multilingual Chinese English Lexical Sample Task dataset of SemEval- 2007. The experimental results show that the model gets the state-of-the-art results (Pmar=44.4%) and outperforms the best system in SemEval-2007.
Page 1 /70788
Display every page Item


Home
Copyright © 2008-2017 Open Access Library. All rights reserved.