scholarly journals A Reconsideration of Grammatical Categorization in English: The Clause

2019 ◽  
Vol 30 (2) ◽  
pp. 87-108
Author(s):  
John Franklin Wiredu
Keyword(s):  
Text Analysis ◽  
Functional Classification ◽  
Structural Classification ◽  
New Approach ◽  
Functional Term ◽  
Grammatical Analysis ◽  
Grammatical Categories ◽  
Structural Term ◽  
Structured Approach ◽  
Dependent Clause

Various models for categorizing grammatical units exist in the literature. Particularly nebulous, however, are terminologies for conceptualizing categories at the level of the clause. For example, the term complement has been used, confusingly sometimes, as both a functional term and, on some occasions, as a structural term. In this study, a model of categorization is proposed, which keeps functional classification separate from structural classification, in order that concepts used in grammatical analysis can be clearly understood and be applied more easily in text analysis. Accordingly, the specific aim of this study is to examine some already ‘accepted’ subcategories of the dependent clause and, in the process, propose a new approach for the analysis of this clause type. This approach, it is hoped, will remove (a) semantic considerations from the analysis of these grammatical units and (b) the confusion between the notional and syntactic description of the units. In the end, this work involves a reconsideration of some traditional ways of doing grammatical categorization with the hope that it will ease identification of grammatical categories. The overall goal is to offer a more consistent and structured approach to the grammatical analysis of the clause in English.

A Medical Text Analysis System for German - Syntax Analysis

1991 ◽  
Vol 30 (04) ◽  
pp. 275-283 ◽  
Author(s):  
P. M. Pietrzyk
Keyword(s):  
Text Analysis ◽  
Free Text ◽  
New Approach ◽  
Syntax Analysis ◽  
Medical Text ◽  
Medical Language ◽  
Computerized Processing ◽  
Language Data ◽  
Analysis System ◽  
German Syntax

Abstract:Much information about patients is stored in free text. Hence, the computerized processing of medical language data has been a well-known goal of medical informatics resulting in different paradigms. In Gottingen, a Medical Text Analysis System for German (abbr. MediTAS) has been under development for some time, trying to combine and to extend these paradigms. This article concentrates on the automated syntax analysis of German medical utterances. The investigated text material consists of 8,790 distinct utterances extracted from the summary sections of about 18,400 cytopathological findings reports. The parsing is based upon a new approach called Left-Associative Grammar (LAG) developed by Hausser. By extending considerably the LAG approach, most of the grammatical constructions occurring in the text material could be covered.

A NEW APPROACH FOR TEXT SIMILARITY USING ARTICLES

2008 ◽  
Vol 07 (01) ◽  
pp. 23-34 ◽  
Author(s):  
ELSAYED ATLAM
Keyword(s):  
Information Retrieval ◽  
Text Analysis ◽  
Traditional Method ◽  
Text Similarity ◽  
Traditional Methods ◽  
Document Similarity ◽  
New Approach ◽  
Text Collections ◽  
Subject Areas

Conventional approaches to text analysis and information retrieval which measured document similarity by considering all information in texts are relatively inefficiency for processing large text collections in heterogeneous subject areas. Previous researches showed that evidence from passage can improve retrieval results. But it also raised questions about how passage is defined, how they can be ranked efficiently, and what is their proper rule in long structure documents. Moreover, the frequency of "the" with important sentence is efficiently to summarize the text by dexterity way. We previously proposed an approach for extracting sentences which including article "the" by some restrict rules to carry out effectiveness passages. Based on previous approaches, this paper presents a new Passage SIMilarity (P-SIM) measurements between documents based on effectiveness passages after extracting them using article "the". Moreover, our new approach showing that this method is more efficient than traditional methods. Also, Recall and Precision are achieved by 92.6% and 97.5% respectively, depending on extracted passages. Furthermore, Recall and Precision significantly improved by 38.3% and 44.2% over the traditional method. The proposed methods are applied to 3,990 articles from the large tagged corpus.

Corpora for Theory and Practice

1996 ◽  
Vol 1 (1) ◽  
pp. 1-37 ◽  
Author(s):  
Michael Barlow
Keyword(s):  
Second Language ◽  
Language Learning ◽  
Text Analysis ◽  
Second Language Learning ◽  
Theory And Practice ◽  
Corpus Analysis ◽  
Data Driven ◽  
Actual Usage ◽  
Grammatical Analysis ◽  
Patterns Of Use

In this paper intuition-based studies of reflexive forms such as myself are contrasted with a corpus-based investigation of actual usage of reflexives. The examination of reflexives in English in several corpora reveals a variety of patterns, which are analysed within a schema-based approach to grammar (Barlow and Kemmer 1994). This approach follows the cognitive/functional tradition of grammatical analysis in viewing all grammatical units as composed of form-meaning pairings. The paper demonstrates that a schema-based approach is well-suited to the task of describing the major and minor patterns of use revealed by corpus analysis. The importance of text analysis in language teaching is highlighted and connections between the schema-based grammatical formalism and data-driven approaches to second language learning (Johns 1991b) are briefly explored.

scholarly journals Ternary Classification of Product Based Reviews: Survey, Open Issues and New Approach for Sentiment Analysis

2021 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
Sushila Sonare ◽  
Megha Kamble
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Text Analysis ◽  
Text Data ◽  
New Approach ◽  
Meaningful Information ◽  
Multi Class Classification ◽  
Almost All ◽  
Open Issues

Now-a-days, it is very common that the customers share their thoughts about any product, brand and their experience in social media. The analysts collect these reviews and process it, to extract meaningful information about the product. The beauty of social media is, it’s involved in all the domains. So the analysts got reviews from different social media and platforms for almost all kind of thing. The Sentiment Analysis is applied to predict outcomes for getting useful information, for ex.; like predict the blockbuster for a movie, rating for any new launches and many more. This type of prediction is really helpful for the customer to buy any goods or take any services in this competitive world. This paper is focused on e-commerce website reviews which are normally in text form with some special characters and some symbols (emojis). Each word in this text set got some meaning in terms of context, emotion and prior experience. These characteristics contribute to some of the features of text data for prediction. The objective of this paper is to compile existing research works on text analysis and emotion based analysis. The open issues and challenges of document based sentiment analysis are also discussed. The paper concluded with proposing a new approach of multi class classification. Ternary classification for classes positive, negative and neutral is suggested primarily for product based text and emoji reviews on Twitter social media.

scholarly journals Application of machine learning and rough set theory in lean maintenance decision support system development

2021 ◽  
Vol 23 (4) ◽  
pp. 695-708
Author(s):  
Katarzyna Antosz ◽  
Małgorzata Jasiulewicz-Kaczmarek ◽  
Łukasz Paśko ◽  
Chao Zhang ◽  
Shaoping Wang
Keyword(s):  
Machine Learning ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
System Development ◽  
Decision Makers ◽  
Manufacturing Companies ◽  
New Approach ◽  
Structured Approach ◽  
Selection Of

Lean maintenance concept is crucial to increase the reliability and availability of maintenance equipment in the manufacturing companies. Due the elimination of losses in maintenance processes this concept reduce the number of unplanned downtime and unexpected failures, simultaneously influence a company’s operational and economic performance. Despite the widespread use of lean maintenance, there is no structured approach to support the choice of methods and tools used for the maintenance function improvement. Therefore, in this paper by using machine learning methods and rough set theory a new approach was proposed. This approach supports the decision makers in the selection of methods and tools for the effective implementation of Lean Maintenance.

Analysis and evaluation of the effectiveness of risk management in aviation activities

2020 ◽  
pp. 58-64
Author(s):  
P.Yu. Lieberman ◽  
◽  
A.P. Yastrebov ◽  
Keyword(s):  
Risk Management ◽  
Hazard Identification ◽  
Conceptual Approach ◽  
New Approach ◽  
Analysis And Evaluation ◽  
Process Indicators ◽  
Operational Management ◽  
Risk Research ◽  
Structured Approach ◽  
Risk Assessment And Management

Innovative technologies of risk management in aviation activities are considered. The purpose of the research is determined by the need to form a qualitatively new approach related to the creation of a risk management system that allows the active use of modern digital technologies. Risk analysis includes procedures for identifying risk factors and assessing their significance. Risk management plays a particularly important role in aviation activities and requires a consistent and systematic process of objective analysis and assessment using reactive and proactive methods and techniques. It is shown that risk management is a structured approach and systematic actions aimed at achieving a balance between identified and assessed risk, as well as practical risk reduction. Two main elements should be considered in the process of risk research: hazard identification, i.e. identification of undesirable or adverse events, and analysis of the causes that cause these events and may cause harm. The article describes a conceptual approach to risk management in aviation activities, which is the basis for implementing the principles of operational management of the air transport security system, and provides recommendations for the analysis and assessment of risk events. To improve the effectiveness of the security management process, indicators are defined and a methodology for risk assessment and management is proposed.

scholarly journals Geographical Text Analysis: A new approach to understanding nineteenth-century mortality

2015 ◽  
Vol 36 ◽  
pp. 25-34 ◽  
Author(s):  
Catherine Porter ◽  
Paul Atkinson ◽  
Ian Gregory
Keyword(s):  
Nineteenth Century ◽  
Text Analysis ◽  
New Approach

scholarly journals Ternary Classification of Product Based Reviews: Survey, Open Issues and New Approach for Sentiment Analysis

2021 ◽  
pp. 1-8
Author(s):  
Sushila Sonare ◽  
◽  
Dr. Megha Kamble ◽  
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
Text Analysis ◽  
Text Data ◽  
New Approach ◽  
Meaningful Information ◽  
Multi Class Classification ◽  
Almost All ◽  
Open Issues

Now-a-days, it is very common that the customers share their thoughts about any product, brand and their experience in social media. The analysts collect these reviews and process it, to extract meaningful information about the product. The beauty of social media is, it’s involved in all the domains. So the analysts got reviews from different social media and platforms for almost all kind of thing. The Sentiment Analysis is applied to predict outcomes for getting useful information, for ex.; like predict the blockbuster for a movie, rating for any new launches and many more. This type of prediction is really helpful for the customer to buy any goods or take any services in this competitive world. This paper is focused on e-commerce website reviews which are normally in text form with some special characters and some symbols (emojis). Each word in this text set got some meaning in terms of context, emotion and prior experience. These characteristics contribute to some of the features of text data for prediction. The objective of this paper is to compile existing research works on text analysis and emotion based analysis. The open issues and challenges of document based sentiment analysis are also discussed. The paper concluded with proposing a new approach of multi class classification. Ternary classification for classes positive, negative and neutral is suggested primarily for product based text and emoji reviews on Twitter social media.

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