scholarly journals A Study on Fuzzy Query with Weights Based on Fuzzy Logic

2021 ◽  
Vol 23 (10) ◽  
pp. 81-92
Author(s):  
Dr. ASHISH KUMAR TAMRAKAR ◽  
Keyword(s):  
Fuzzy Logic ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Fuzzy Logic System ◽  
Fuzzy Mathematics ◽  
Fuzzy Relations ◽  
Fuzzy Query ◽  
Language Analysis ◽  
Logic System

Natural Language Processing (NLP) is the electronic tactic to analyzing text that is depends on both a set of ideas and a set of technologies. Natural Language Processing (NLP) is a subfield of artificial intelligence and etymology it thinks about the issues of computerized era and comprehension of regular human dialects. Common dialect era frameworks change over data from PC databases into ordinary sounding human dialect, and normal dialect understanding frameworks change over specimens of human dialect into more formal representations that are less demanding for PC projects to control. The Fuzzy logic-based approach provides another alternative for effective natural language analysis. It is commonly recognized that many phenomena in natural language lend themselves to descriptions by Fuzzy mathematics, including Fuzzy sets, Fuzzy relations and Fuzzy logic. By defining a Fuzzy logic system and acquiring proper rules, we hope that difficulties in analysis of speech can be alleviated. The goal of NLP is to enable communication between people and computers without resorting to memorization of complex commands and procedures.

A WORD-BASED CHINESE LANGUAGE UNDERSTANDING SYSTEM

1988 ◽  
Vol 02 (01) ◽  
pp. 25-35
Author(s):  
TIAN-SHUN YAO
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Chinese Language ◽  
Computer Programs ◽  
World Knowledge ◽  
Knowledge Source ◽  
Language Understanding ◽  
Language Analysis ◽  
The World

With the word-based theory of natural language processing, a word-based Chinese language understanding system has been developed. In the light of psychological language analysis and the features of the Chinese language, this theory of natural language processing is presented with the description of the computer programs based on it. The heart of the system is to define a Total Information Dictionary and the World Knowledge Source used in the system. The purpose of this research is to develop a system which can understand not only Chinese sentences but also the whole text.

NL-OOPS: from natural language to object oriented requirements using the natural language processing system LOLITA

1996 ◽  
Vol 2 (2) ◽  
pp. 161-187 ◽  
Author(s):  
L. MICH
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Processing System ◽  
Object Oriented ◽  
Core System ◽  
Natural Language Processing System ◽  
Language Analysis ◽  
Natural Language Requirements ◽  
Object Models

This paper describes NL-OOPS, a CASE tool that supports requirements analysis by generating object oriented models from natural language requirements documents. The full natural language analysis is obtained using as a core system the Natural Language Processing System LOLITA. The object oriented analysis module implements an algorithm for the extraction of the objects and their associations for use in creating object models.

scholarly journals Implementing WordNet Measures of Lexical Semantic Similarity in a Fuzzy Logic Programming System

2021 ◽  
pp. 1-19
Author(s):  
PASCUAL JULIÁN-IRANZO ◽  
FERNANDO SÁENZ-PÉREZ
Keyword(s):  
Fuzzy Logic ◽  
Natural Language Processing ◽  
Natural Language ◽  
Logic Programming ◽  
Programming Language ◽  
Language Processing ◽  
Similarity Measures ◽  
Programming System ◽  
Syntactic Structures ◽  
Unification Algorithm

Abstarct This paper introduces techniques to integrate WordNet into a Fuzzy Logic Programming system. Since WordNet relates words but does not give graded information on the relation between them, we have implemented standard similarity measures and new directives allowing the proximity equations linking two words to be generated with an approximation degree. Proximity equations are the key syntactic structures which, in addition to a weak unification algorithm, make a flexible query-answering process possible in this kind of programming language. This addition widens the scope of Fuzzy Logic Programming, allowing certain forms of lexical reasoning, and reinforcing Natural Language Processing (NLP) applications.

scholarly journals Supplemental materials for preprint: KONTROL PERILAKU AGEN MENGGUNAKAN FUZZY LOGIC BERBASIS SEMANTIK

2021 ◽  
Author(s):  
akuwan saleh
Keyword(s):  
Fuzzy Logic ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Semantic Mapping ◽  
World Knowledge

?atural language merupakan proses pembuatan model komputasi dari bahasa, sehingga dapat terjadi interaksi antara manusia dengan komputer dengan perantaraan bahasa alami. Model komputasi ini dapat berguna untuk keperluan ilmiah seperti meneliti sifat-sifat dari suatu bentuk bahasa alami maupun untuk keperluan sehari-hari. Bidang-bidang pengetahuan yang berhubungan dengan natural language processing meliputi : Fonetik dan fonologi, morfologi, sintaksis, semantik, pragmatik, discourse knowledge, dan world knowledge. Definisi dari semantik yaitu pemetaan bentuk struktur sintaksis dengan memanfaatkan tiap kata ke dalam bentuk yang lebih mendasar dan tidak tergantung struktur kalimat. Semantik mempelajari arti suatu kata dan bagaimana dari arti kata-arti kata tersebut membentuk suatu arti dari kalimat yang utuh. Proses analisa semantik digunakan untuk mengenali kata-kata yang mendahului dan berhubungan dengan kata yang ada dalam domain. Proses ini dilakukan dengan menghubungkan struktur sintak mulai dari kata, frasa, kalimat, hingga paragraf. Dalam penelitian sebelumnya berkaitan dengan semantic mapping, pemetaan semantik dilakukan berdasarkan pada tampilan fisik dan selanjutnya peran dari suatu model/karakter dalam suatu cerita. Inti dari obyek permainan tidak harus dimunculkan dari tampilan fisik dari suatu karakter saja, tetapi juga dapat dihubungkan dengan parameter penting lain seperti pakaian, alat, benda, senjata yang dibawa oleh masing-masing karakternya.

scholarly journals Lógica difusa para una descripción de la gramática de las lenguas naturales

Triangle ◽  
2020 ◽  
pp. 73
Author(s):  
Adrià Torrens Urrutia
Keyword(s):  
Fuzzy Logic ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Formal Models ◽  
Discrete Values

Defining the natural language and its gradient phenomena force us to look for formal tools that can represent the bases of a grammar with degrees of grammaticality. The mathematical and formal models are often used in linguistics. And yet, fuzzy logic has not received all the attention it deserves as a tool to explain the natural language processing. Here, we show the theoretical bases that have led us to treat the natural language (NL) inputs gradually. The basis of fuzzy logic for NL are explained here as a tool capable of defining non-discrete values, therefore gradual or fuzzy. A Property Grammar will give the rules of the fuzzy grammar.

scholarly journals Review on Natural Language Processing Based on Different Techniques

2021 ◽  
pp. 1-17
Author(s):  
Dastan Hussen Maulud ◽  
Siddeeq Y. Ameen ◽  
Naaman Omar ◽  
Shakir Fattah Kak ◽  
Zryan Najat Rashid ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Good Accuracy ◽  
Syntactic Analysis ◽  
High Demand ◽  
Syntax Analysis ◽  
Language Analysis ◽  
Third Stage ◽  
And Control

With the exponential growth of the information on the Internet, there is a high demand for making this information readable and processable by machines. For this purpose, there is a need for the Natural Language Processing (NLP) pipeline. Natural language analysis is a tool used by computers to grasp, perceive, and control human language. This paper discusses various techniques addressed by different researchers on NLP and compares their performance. The comparison among the reviewed researches illustrated that good accuracy levels haved been achieved. Adding to that, the researches that depended on the Sentiment Analysis and ontology methods achieved small prediction error. The syntactic analysis or parsing or syntax analysis is the third stage of the NLP as a conclusion to use NLP technology. This step aims to accurately mean or, from the text, you may state a dictionary meaning. Syntax analysis analyzes the meaning of the text in comparison with the formal grammatical rules.

scholarly journals Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Nicholas A. I. Omoregbe ◽  
Israel O. Ndaman ◽  
Sanjay Misra ◽  
Olusola O. Abayomi-Alli ◽  
Robertas Damaševičius
Keyword(s):  
Fuzzy Logic ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Medical Diagnosis ◽  
Text Messaging ◽  
Fuzzy Inference ◽  
Support Vector ◽  
Fuzzy Support Vector Machine ◽  
System Usability Scale

The use of natural language processing (NLP) methods and their application to developing conversational systems for health diagnosis increases patients’ access to medical knowledge. In this study, a chatbot service was developed for the Covenant University Doctor (CUDoctor) telehealth system based on fuzzy logic rules and fuzzy inference. The service focuses on assessing the symptoms of tropical diseases in Nigeria. Telegram Bot Application Programming Interface (API) was used to create the interconnection between the chatbot and the system, while Twilio API was used for interconnectivity between the system and a short messaging service (SMS) subscriber. The service uses the knowledge base consisting of known facts on diseases and symptoms acquired from medical ontologies. A fuzzy support vector machine (SVM) is used to effectively predict the disease based on the symptoms inputted. The inputs of the users are recognized by NLP and are forwarded to the CUDoctor for decision support. Finally, a notification message displaying the end of the diagnosis process is sent to the user. The result is a medical diagnosis system which provides a personalized diagnosis utilizing self-input from users to effectively diagnose diseases. The usability of the developed system was evaluated using the system usability scale (SUS), yielding a mean SUS score of 80.4, which indicates the overall positive evaluation.

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