Search results for "language processing"
showing 10 items of 421 documents
A survey on emotion detection: A lexicon based backtracking approach for detecting emotion from Bengali text
2017
Emotion recognition ability has been introduced as a core component of emotional competence. Every emotion has different ways to be expressed such as text, speech, lyrics etc. This paper reflects the current experimental study and their outcomes on emotion detection from different textual data. In case of lexicon-based analysis, the position of emotional lexicons really varies the state of an emotion. In this empirical study, our focus was to find how people use the emotional keywords to express their emotions. We have presented an emotion detection model to extract emotion from Bengali text at the sentence level. In order to detect emotion from Bengali text, we have considered two basic em…
Stroke Cognitive Medical Assistant (StrokeCMA)
2018
Stroke is the number two killer after heart disease since it is responsible for almost 10% of all deaths worldwide. The main problem with a stroke is a significant delay in treatment that happened mainly due to inappropriate detection of stroke symptoms or inability of a person to perform further necessary actions, and might cause death, permanent disabilities, as well as more expensive treatment and rehabilitation. Nowadays assessment of a stroke is done by human, following widely adopted FAST approach of stroke assessment. Since a human factor become one of the causes of treatment delay, offered solution will try to minimize this factor. Artificial Intelligence, Cognitive Computing, Machi…
The Contribution of Event-Related Potentials to the Understanding of Sign Language Processing and Production in the Brain : Experimental Evidence and…
2022
Functional neuroimaging allows investigation of the timing properties of the brain mechanisms underlying covert language processing. This paper presents a review of the use of the neuroimaging technique called Event-Related Potentials (ERPs) in sign language (SL) research. In the field of neurolinguistics, ERPs have been widely used in the study of spoken language, but their use in SL is still rare. Studying the neurocognitive aspects of SL could lead to a better understanding of the specific processing of SL in the brain. This review outlines the basic theoretical and methodological principles of ERPs. We focus on three groups of ERPs that are particularly relevant to SL processing and pro…
HOWERD: A Hidden Markov Model for Automatic OWL-ERD Alignment
2016
The HOWERD model for estimating the most likely alignment between an OWL ontology and an Entity Relation Diagram (ERD) is presented. Automatic alignment between relational schema and ontology represents a big challenge in Semantic Web research due to the different expressiveness of these representations. A relational schema is less expressive than the ontology; this is a non trivial problem when accessing data via an ontology and for ontology storing by means of a relational schema. Existent alignment methodologies fail in loosing some contents of the involved representations because the ontology captures more semantic information, and several elements are left unaligned. HOWERD relies on a…
Automated scoring of teachers’ pedagogical content knowledge : a comparison between human and machine scoring
2020
To validly assess teachers’ pedagogical content knowledge (PCK), performance-based tasks with open-response formats are required. Automated scoring is considered an appropriate approach to reduce the resource-intensity of human scoring and to achieve more consistent scoring results than human raters. The focus is on the comparability of human and automated scoring of PCK for economics teachers. The answers of (prospective) teachers (N = 852) to six open-response tasks from a standardized and validated test were scored by two trained human raters and the engine “Educational SCoRIng Toolkit” (ESCRITO). The average agreement between human and computer ratings, κw = 0.66, suggests a convergent …
VEBO: Validation of E-R diagrams through ontologies and WordNet
2012
In the semantic web vision, ontologies are building blocks for providing applications with a high level description of the operating environment in support of interoperability and semantic capabilities. The importance of ontologies in this respect is clearly stated in many works. Another crucial issue to increase the semantic aspect of web is to enrich the level of expressivity of database related data. Nowadays, databases are the primary source of information for dynamical web sites. The linguistic data used to build the database structure could be relevant for extracting meaningful information. In most cases, this type of information is not used for information retrieval. The work present…
Oxygen parameters of blood: Definitions and symbols
1990
Definitions and symbols for relevant parameters of the oxygen status of arterial blood are recommended. The recommendations are as simple as possible, easy to understand, and devoid of misinterpretations and double meanings. The authors propose no new definitions for limited new methods, no combination of symbols and methods, and no association between definition, symbol and commercial name.
Evaluating similarity measures for gaze patterns in the context of representational competence in physics education
2018
The competent handling of representations is required for understanding physics' concepts, developing problem-solving skills, and achieving scientific expertise. Using eye-tracking methodology, we present the contributions of this paper as follows: We first investigated the preferences of students with the different levels of knowledge; experts, intermediates, and novices, in representational competence in the domain of physics problem-solving. It reveals that experts more likely prefer to use vector than other representations. Besides, a similar tendency of table representation usage was observed in all groups. Also, diagram representation has been used less than others. Secondly, we evalu…
Investigating the effectiveness of a digital game-based task on the acquisition of word knowledge
2020
This study investigates the probable effect of a digital game-based vocabulary learning (DGBVL) task on the acquisition of some components of a word knowledge framework. In so doing, 124 Persian speakers (56 males and 68 females) were randomly assigned to either a control or an experimental group. The experimental group participants completed a DGBVL task for acquiring ten low-frequent inanimate object names, or lexical nouns, by playing a commercial adventure game. The control group participants practiced the same words in a fill-in-the-blank vocabulary acquisition exercise. In brief, first, all participants sat for a word-checklist and a proficiency test; next, they completed their tasks,…
A Contrastive Evaluation of Word Sense Disambiguation Systems for Finnish
2019
Aiempi saneiden alamerkitysten yksiselitteistämistä käsittelevä työ, kuten monet muut luonnollisen kielen käsittelyyn liittyvät tehtävät, on enimmäkseen keskittynyt englannin kieleen. Vaikka hieman työtä on tehty myös muilla kielillä, mukaan lukien uralilaiset kielet, vertailevaa arviointia suomen kielen saneiden alamerkitysten yksiselitteistämisestä ei ole tähän mennessä julkaistu huolimatta siitä, että tarvittavat leksikaaliset resurssit, erityisesti FinnWordNet, ovat jo pitkään olleet saatavilla. Tämä työ pyrkii korjaamaan tilanteen. Se tarjoaa tuloksia merkittävimpiä lähestymistapoja saneiden alamerkitysten yksiselitteistämiseen edustavista ohjelmista, sisältäen joitakin parhaiten engla…