WordNet Editor to Refine Indonesian Language Lexical Database

2011 ◽  
Author(s):  
Gunawan ◽  
Jessica Felani Wijoyo ◽  
I. Ketut Eddy Purnama ◽  
Mochamad Hariadi
Keyword(s):  
Lexical Database

scholarly journals PRE-PROCESSED LATENT SEMANTIC ANALYSIS FOR AUTOMATIC ESSAY GRADING

Kursor ◽  
2017 ◽  
pp. 175 ◽  
Author(s):  
Ruth Ema Febrita ◽  
Wayan Firdaus Mahmudy
Keyword(s):  
Latent Semantic Analysis ◽  
Semantic Analysis ◽  
Learning System ◽  
Semantic Meaning ◽  
Lexical Database ◽  
Java Programming ◽  
E Learning ◽  
Manual Processing ◽  
Essay Grading ◽  
High Order Thinking

In education, essay is considered as the best tool to evaluate student’s high order thinking and understanding. In the other hand, manual processing and grading essay answers by a teacher need much time and tending to subjectivity grading. Meanwhile automatic essay grading in e-learning system find the difficulties in comparing model or key answer to student’s answer because student’s can answer the question with so various way. That means a right answer also can be so various, for they have same semantic meaning. This paper proposed automatic essay grading using Latent Semantic Analysis. But before the texts being scored, they will be pre-processed using stop words removal and synonyms checking. Calibration process implemented for dealing with the various possible right answer and help to simplify the term matrix. Implementation of this approach using Java Programming Language and WordNet as lexical database for searching the synonyms of every given words. The accuracy obtained by this method is 54.9289%.

scholarly journals Procura-PALavras (P-PAL): A Web-based interface for a new European Portuguese lexical database

2018 ◽  
Vol 50 (4) ◽  
pp. 1461-1481 ◽  
Author(s):  
Ana Paula Soares ◽  
Álvaro Iriarte ◽  
José João de Almeida ◽  
Alberto Simões ◽  
Ana Costa ◽  
...  
Keyword(s):  
Lexical Database ◽  
Web Based ◽  
European Portuguese

scholarly journals O PROJEKCIE KORPUSU POLSZCZYZNY DO 1500 ROKU

2020 ◽  
pp. 8-16
Author(s):  
Ewa Deptuchowa ◽  
Katarzyna Jasińska ◽  
Magdalena Klapper ◽  
Dorota Kołodziej
Keyword(s):  
Main Part ◽  
Lexical Database ◽  
Digital Collections

This paper presents the assumptions of the Corpus of Polish until 1500, which is being developed as part of the project titled Baza leksykalna średniowiecznej polszczyzny (do 1500 roku). Fleksja (Lexical Database of Medieval Polish (until 1500). Infl ection). It introduces the fundamental objectives of the project, namely preparing an infl ectional description of all (infl ected) words from the time until 1500 and building a morphosyntactically annotated collection of texts from the same period. Afterwards, the authors discuss the present digital collections of Old Polish texts. In the main part of the paper, they present the criteria for selecting sources for the Corpus under creation and their elaboration methods, which refer to the solutions developed in the Electronic Corpus of Polish Texts from the 17th and 18th centuries (until 1772). Their major modifi cations aimed to adapt the structural and morphosyntactic annotations for the purpose of describing Mediaeval Polish are discussed on selected examples.

An Ontology-Based Search Tool in the Semantic Web

2013 ◽  
pp. 221-249 ◽  
Author(s):  
Constanta-Nicoleta Bodea ◽  
Adina Lipai ◽  
Maria-Iuliana Dascalu
Keyword(s):  
Semantic Web ◽  
Lexical Database ◽  
Search Results ◽  
Concept Space ◽  
Ontological Approach ◽  
Search Tool ◽  
Clustering Search ◽  
Meta Search ◽  
Specific Interests ◽  
Initial List

The chapter presents a meta-search tool developed in order to deliver search results structured according to the specific interests of users. Meta-search means that for a specific query, several search mechanisms could be simultaneously applied. Using the clustering process, thematically homogenous groups are built up from the initial list provided by the standard search mechanisms. The results are more user-oriented, thanks to the ontological approach of the clustering process. After the initial search made on multiple search engines, the results are pre-processed and transformed into vectors of words. These vectors are mapped into vectors of concepts, by calling an educational ontology and using the WordNet lexical database. The vectors of concepts are refined through concept space graphs and projection mechanisms, before applying the clustering procedure. The chapter describes the proposed solution in the framework of other existent clustering search solutions. Implementation details and early experimentation results are also provided.

scholarly journals EXPLORING THE APPLICABILITY OF SEMANTIC METRICS FOR THE ANALYSIS OF DESIGN PROTOCOL DATA IN COLLABORATIVE DESIGN SESSIONS

2020 ◽  
Vol 1 ◽  
pp. 1205-1214
Author(s):  
N. Becattini ◽  
G. V. Georgiev ◽  
Y. Barhoush ◽  
G. Cascini
Keyword(s):  
Information Content ◽  
Collaborative Design ◽  
Test Bench ◽  
Lexical Database ◽  
Packaging Design ◽  
Similarity Maps ◽  
Design Protocol ◽  
Sufficient Precision ◽  
Semantic Metrics

AbstractThe paper presents the application of non-specialized lexical database and semantic metrics on transcripts of co-design protocols. Three different and previously analyzed design protocols of co-creative sessions in the field of packaging design, carried out with different supporting tools, are used as test-bench to highlight the potential of this approach. The results show that metrics about the Information Content and the Similarity maps with sufficient precision the differences between ICT- and non-ICT-supported sessions so that it is possible to envision future refinement of the approach.

A Chinese Interactive Feedback System for a Virtual Campus

2010 ◽  
pp. 290-316
Author(s):  
Chen Jui-Fa ◽  
Lin Wei-Chuan ◽  
Jian Chih-Yu ◽  
Hung Ching-Chung
Keyword(s):  
Chinese Language ◽  
Feedback System ◽  
Feedback Mechanism ◽  
Lexical Database ◽  
Natural Languages ◽  
Virtual Campus ◽  
E Learning ◽  
User Friendly ◽  
Interactive Feedback ◽  
Proper Response

Considering the popularity of the Internet, an automatic interactive feedback system for E-learning websites is becoming increasingly desirable. However, computers still have problems understanding natural languages, especially the Chinese language, firstly because the Chinese language has no space to segment lexical entries (its segmentation method is more difficult than that of English) and secondly because of the lack of a complete grammar in the Chinese language, making parsing more difficult and complicated. Building an automated Chinese feedback system for special application domains could solve these problems. This paper proposes an interactive feedback mechanism in a virtual campus that can parse, understand and respond to Chinese sentences. This mechanism utilizes a specific lexical database according to the particular application. In this way, a virtual campus website can implement a special application domain that chooses the proper response in a user friendly, accurate and timely manner.

scholarly journals A Lexical Database of Portuguese Multiword Expressions

2006 ◽  
pp. 238-243 ◽  
Author(s):  
Sandra Antunes ◽  
Maria Fernanda Bacelar do Nascimento ◽  
João Miguel Casteleiro ◽  
Amália Mendes ◽  
Luísa Pereira ◽  
...  
Keyword(s):  
Lexical Database ◽  
Multiword Expressions
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