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In corpus preparation we do part-of-speech (POS) tagging where we add POS information into the corpus in the form of tags. The POS information contains a number of tags such as noun, pronoun, verb, adjective, adverbs, preposition, conjunction etc. Literature shows the lack of corpora for Santali language. In this paper we have created and described a Santali language corpus using Sketch Engine corpus...
The ultimate aim of this research is to develop a Rule Based Machine Translation System (RBMT) using sentence simplification. The sentence pattern for English is SVO and Tamil is SOV. Complex and larger sentence are not easy to parse and translate. So, the sentence simplifier is also accommodated in the rule based system to split a large sentence into simple multiple sentences. Machine translation...
Learning is a native ability of the brain. However, very little is known of the process as it happens. The engineering model presented in this works provides a base to explore the innards of cognition. The computational implementation of the model is usable to assess cognitive profiles by means of machine learning and harmonic filtering. The model relies in an evolutionary dimensional space consisting...
This paper presents the work done in the context of the Speech2Process project for Speech Dialogue System applied in call-centers, specifically in the banking domain. In our proposed solution, the client communicates with the system by natural language sentences, which will be automatically recognized and semantically analysed. The paper describes innovative features of the selected approach, which...
A text summary is a reduction of original text to summarized text by selecting what is important in the source. Over a period of years the World Wide Web has expanded so that tremendous amount of data is created and available online. Text summarization is needed when people want a gist of a particular topic from one or more sources of information available online. Taking into consideration the above...
There are several well-known corpus management systems (Sketch Engine, Manatee, EXMARaLDA, etc.). The system presented in this article has search functionalities comparable to those. However, it also takes into account certain specifics of Turkic languages.
This study purposed a sliding-mode controller (SMC) with a variable sliding surface (slide plane). This SMC was then applied to a direct field-oriented control (FOC) system without speed sensors developed for an induction motor. To improve the performance and robustness of the drive, fuzzy theory was integrated with sliding-mode control. For this integration, fuzzy sliding surfaces were used as a...
Based on the analyses systems of fuzzy fault tree and event tree, this paper proposes a method for a reliability risk analysis to mitigate problems associated with risk modeling of fuzzy and uncertain information. Risk event occurrence probabilities were obtained with fuzzy linguistic variables instead of exact values used in fault tree analysis. Quantitative analysis was applied to the fuzzy fault...
Distributed Generations (DG) are modular power generating technologies that are located near the load centers. DGs help avoid the expensive long distance transmission of power which is expensive and lossful while providing certain relief to the central power grid. They can be reliable and environmental friendly. DGs can prove beneficial for the local economies, enhance the energy independence, provides...
This paper presents a fuzzy based modeling approach for determining the effectiveness of IT security policies of an organization. Normally organizations have different IT security policies, but modeling and maintaining them is a tedious process. In order to ensure appropriate IT support policies, there are many factors involved. The most common are the periodic data backups and prevention against...
A framework for extracting semantic relational words in Bangla is presented in this paper. Here extraction of Synonyms, Antonyms, Hyponym, Hypernym, Meronym, Holonym and Polysemy are primarily investigated as a rule based model. For every word two other things: concept and parts of speech category are also presented for clarification. A semantic analyzer is used to extract these relations from nouns,...
This paper introduces a fuzzy inference engine for modulating the set-point of a control system to improve system transient response while retaining its target steady state operating point. Using the system's error and its rate of change, the fuzzy set-point modulator introduces a temporary change in the system set-point in order to reduce the system's settling time and damp oscillations. This paper...
Viva assessments are an important part of the curriculum in all the professional and academic courses. Since ages, the processes has been handled manually and hence has been prone to errors and mal practises. Considering the wide usage of the procedure in determining the performance of the individuals and the fuzzy nature of the evaluation process, we have presented an algorithm to calculate the viva...
In recent years cloud computing has been considered among superior technologies worldwide. The main reason is the services and sources provided the users by the clouds. In order to avoid over interactions of the servers and given the work volume and green computations, load balancing in cloud computing is of enormous importance requiring dynamic load distribution in a proportionate manner among the...
In this paper, a comparison between two different text extraction methods is given, namely the linguistic (Part-of-Speech / POS) and statistical methods (Term Frequency Inverse Document Frequency / TF-IDF). Text extractions were performed as part of ontology population in the Indonesian tourism domain. This paper also contributes in creating a multimedia corpus from three different resources or websites...
This paper provides a review of the literature on the trust issue mainly considering organizational level relationships. The review highlights trust evaluation being a multi-layer multi-criteria and often context-dependent process which commonly uses various sources of evidence to judge the trustworthiness of trustees. Trust has been referred to as a major requirement for a successful supply chain...
A corpus is a large collection of texts that can be automatically analyzed for linguistic patterns and structures using interactive tools. Corpus-based language learning has gained prominence in recent years thanks to the advances in computing technologies, such as text mining, searching, and natural language processing. The size and variety of corpora have also grown significantly in recent years...
This paper presents a XML-based specification of the fuzzy system (FS) with objective to facilitate FS development by separation of the Fuzzy Inference System (FIS) implementation and a problem domain description. Generic FIS application is implemented in Java, and XML schema for domain knowledge specification is developed. Study case supporting the experimental evaluation of the proposed solution...
This paper presents both the general model and a case study of the Computational and Collaborative Philology Library (CoPhiLib), an ongoing initiative underway at the Institute for Computational Linguistics (ILC) of the National Research Council (CNR), Pisa, Italy. The library, designed and organized as a reusable, abstract and open-source software component, aims at solving the needs of multi-lingual...
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