Neural Network Model for Semantic Analysis of Sanskrit Text

2020 ◽  
pp. 1011-1025
Author(s):  
Smita Selot ◽  
Neeta Tripathi ◽  
A. S. Zadgaonkar
Keyword(s):  
Semantic Analysis ◽  
Semantic Representation ◽  
Semantic Category ◽  
Sanskrit Text ◽  
Grammatical Structure ◽  
Indian Language ◽  
Syntactic Information ◽  
The Given ◽  
Morphological Representation ◽  
Sanskrit Grammar

Semantic analysis is the process of extracting meaning of the sentence, from a given language. From the perspective of computer processing, challenge lies in making computer understand the meaning of the given sentence. Understandability depends upon the grammar, syntactic and semantic representation of the language and methods employed for extracting these parameters. Semantics interpretation methods of natural language varies from language to language, as grammatical structure and morphological representation of one language may be different from another. One ancient Indian language, Sanskrit, has its own unique way of embedding syntactic information within words of relevance in a sentence. Sanskrit grammar is defined in 4000 rules by PaninI reveals the mechanism of adding suffixes to words according to its use in sentence. Through this article, a method of extracting meaningful information through suffixes and classifying the word into a defined semantic category is presented. The application of NN-based classification has improved the processing of text.

Neural Network Model for Semantic Analysis of Sanskrit Text

2018 ◽  
Vol 7 (1) ◽  
pp. 1-14
Author(s):  
Smita Selot ◽  
Neeta Tripathi ◽  
A. S. Zadgaonkar
Keyword(s):  
Semantic Analysis ◽  
Semantic Representation ◽  
Semantic Category ◽  
Sanskrit Text ◽  
Grammatical Structure ◽  
Indian Language ◽  
Meaningful Information ◽  
Syntactic Information ◽  
The Given ◽  
Morphological Representation

Semantic analysis is the process of extracting meaning of the sentence, from a given language. From the perspective of computer processing, challenge lies in making computer understand the meaning of the given sentence. Understandability depends upon the grammar, syntactic and semantic representation of the language and methods employed for extracting these parameters. Semantics interpretation methods of natural language varies from language to language, as grammatical structure and morphological representation of one language may be different from another. One ancient Indian language, Sanskrit, has its own unique way of embedding syntactic information within words of relevance in a sentence. Sanskrit grammar is defined in 4000 rules by PaninI reveals the mechanism of adding suffixes to words according to its use in sentence. Through this article, a method of extracting meaningful information through suffixes and classifying the word into a defined semantic category is presented. The application of NN-based classification has improved the processing of text.

scholarly journals Lak proverbs with the religious code of culture

2020 ◽  
Vol 11 (4) ◽  
Author(s):  
Mariana Abakarova
Keyword(s):  
Morphological Analysis ◽  
Semantic Analysis ◽  
Native Speakers ◽  
Point Of View ◽  
The Social ◽  
Present Participle ◽  
Cultural Code ◽  
Positive Traits ◽  
The Given ◽  
Syntactical Analysis

The article analyzes Lak proverbs with the religious cultural code. The research was based on the descriptive method, syntactical analysis, morphological analysis and cognitive analysis. The proverbs collected from 3 books of Lak proverbs were analyzed from the point of view of semantics, axiological connotations, syntax and morphology. Semantic analysis revealed 6 groups of lexemes: (1) denominations of people; (2) words related to religious pillars and rituals; (3) words related to holy scriptures, religious attributes and terms; (4) words denoting death and afterlife; (5) words denoting commendable religious acts and notions; (6) words denoting sin and punishment. In the course of the axiological analysis there have been defined proverbs with positive evaluation of a person and proverbs with negative characteristics of a person. Positive traits include honesty, piety, decency, erudition and diligence, while negative ones include insulation, indecency, hypocrisy and negligence in the religious worship. Syntactical analysis of the Lak proverbs has revealed the presence of adverbs of asyndetic structure within which there have been established adversative, concessive and comparative relations, as well as of proverbs with copulative and disjunctive conjunctions. Some of the proverbs are based on the principle of alogism. Morphological analysis of the proverbs has revealed the most frequent grammatical tense, the Present Affirmative Tense, which is formed by means of adding the affix -r to the present participle. The Present Affirmative Tense in the Lak language denotes an action as an attribute of the subject which explains the fact of usage of this tense in proverbs that summarize the social experience of the native speakers. Lak proverbs with the given code have not been researched earlier that makes this study relevant.

scholarly journals Semantic Representation of Social and Role Identification in Subject Self-Organization of Personality

2020 ◽  
Vol 27 (1) ◽  
pp. 52-79 ◽  
Author(s):  
Sergey Dyakov
Keyword(s):  
Semantic Analysis ◽  
Social Role ◽  
Semantic Representation ◽  
Level Structure ◽  
Diagnostic Technique ◽  
Theoretical Data ◽  
Individual Characteristics ◽  
Self Organization ◽  
Expert Assessment ◽  
Role Identification

Objective. Based on the psycholongvistic approach, which is widely represented in world personology and psychosemantics, revealing the subjective descriptive characteristics of a person, an attempt is made to build a model and diagnostic technique for mental personality self-organization (PSO). Material and method. The psycholinguistic method of theoretical structuring and systematization of scientific and theoretical data is presented in the perspective of the subjective paradigm and methodology of the system-synergetic approach (psychological and philosophical) is presented in the construction of a categorical-conceptual model of subjectivity in PSO. Based on the method of categorical-conceptual modeling, a model and methodology for semantic analysis and assessment of subjectness self-organization of personality based on individual characteristics of the experience of social-role identification, reflecting the characteristics of feelings and constructs of understanding that determine the conscious will of the subject, is developed. Results. Psycholinguistic scales of semantic constructs are highlighted of the psychic (functional and motivational) and activity (professional, business, and creative) levels of subjectivity are distinguished. The empirical material reflects the verification of the semantic model and methodology. Modified repertoire lattices by J. Kelly and expert assessment in semantic analysis and classification of constructs served as a method of collecting empirical data. An array of constructs obtained (N=2000) reflects the well-known categorical-conceptual aspects of psychic phenomena (processes-states-properties) and external environmental and sociocultural characteristics, thus revealing the socio-psychological aspects of social-role personality identification, which allows analysis and subjectness assessment. Findings. The presented semantic scales of qualities and personality traits (factors of socio-psychological identification) reveal the systemic relationship and the level structure of the PSO, and also make it possible to assess subjectness.

scholarly journals Development of Reading Comprehension System for Kannada Text Documents

2019 ◽  
Vol 8 (6S4) ◽  
pp. 42-45
Keyword(s):  
Reading Comprehension ◽  
Natural Language ◽  
Language Processing ◽  
Primary Language ◽  
Grammatical Structure ◽  
Text Documents ◽  
Inverse Document Frequency ◽  
Document Frequency ◽  
Proposed Model ◽  
The Given

Reading Comprehension (RC) plays an important role in Natural Language Processing (NLP) as it reads and understands text written in Natural Language. Reading Comprehension systems comprehend the given document and answer questions in the context of the given document. This paper proposes a Reading Comprehension System for Kannada documents. The RC system analyses text in the Kannada script and allows users to pose questions to It in Kannada. This system is aimed at masses whose primary language is Kannada - who would otherwise have difficulties in parsing through vast Kannada documents for the information they require. This paper discusses the proposed model built using Term Frequency - Inverse Document Frequency (TF-IDF) and its performance in extracting the answers from the context document. The proposed model captures the grammatical structure of Kannada to provide the most accurate answers to the user

Quotients of a theory of presheaf type

2018 ◽  
Author(s):  
Olivia Caramello
Keyword(s):  
Semantic Representation ◽  
Sufficient Conditions ◽  
Grothendieck Topology ◽  
Rigidity Property ◽  
The Given ◽  
Grothendieck Topologies

In this chapter the quotients of a given theory of presheaf type are investigated by means of Grothendieck topologies that can be naturally attached to them, establishing a ‘semantic’ representation for the classifying topos of such a quotient as a subtopos of the classifying topos of the given theory of presheaf type. It is also shown that the models of such a quotient can be characterized among the models of the theory of presheaf type as those which satisfy a key property of homogeneity with respect to a Grothendieck topology associated with the quotient. A number of sufficient conditions for the quotient of a theory of presheaf type to be again of presheaf type are also identified: these include a finality property of the category of models of the quotient with respect to the category of models of the theory and a rigidity property of the Grothendieck topology associated with the quotient.

scholarly journals Vector-Space Models of Semantic Representation From a Cognitive Perspective: A Discussion of Common Misconceptions

2019 ◽  
Vol 14 (6) ◽  
pp. 1006-1033 ◽  
Author(s):  
Fritz Günther ◽  
Luca Rinaldi ◽  
Marco Marelli
Keyword(s):  
Cognitive Theory ◽  
Semantic Analysis ◽  
Semantic Representation ◽  
Grounded Cognition ◽  
Future Research ◽  
Cognitive Sciences ◽  
Cognitive Perspective ◽  
The Past ◽  
Language Environment ◽  
Common Misconceptions

Models that represent meaning as high-dimensional numerical vectors—such as latent semantic analysis (LSA), hyperspace analogue to language (HAL), bound encoding of the aggregate language environment (BEAGLE), topic models, global vectors (GloVe), and word2vec—have been introduced as extremely powerful machine-learning proxies for human semantic representations and have seen an explosive rise in popularity over the past 2 decades. However, despite their considerable advancements and spread in the cognitive sciences, one can observe problems associated with the adequate presentation and understanding of some of their features. Indeed, when these models are examined from a cognitive perspective, a number of unfounded arguments tend to appear in the psychological literature. In this article, we review the most common of these arguments and discuss (a) what exactly these models represent at the implementational level and their plausibility as a cognitive theory, (b) how they deal with various aspects of meaning such as polysemy or compositionality, and (c) how they relate to the debate on embodied and grounded cognition. We identify common misconceptions that arise as a result of incomplete descriptions, outdated arguments, and unclear distinctions between theory and implementation of the models. We clarify and amend these points to provide a theoretical basis for future research and discussions on vector models of semantic representation.

The Class of Adjective and Adverbial Intensifiers in the Russian Language and Mechanisms of its Expansion

2020 ◽  
pp. 90-106
Author(s):  
Marina Sandakova ◽  
Keyword(s):  
Semantic Analysis ◽  
Semantic Category ◽  
Russian Language ◽  
Early 21St Century ◽  
Theoretical Contribution ◽  
Low Degree ◽  
Lexical Collocations ◽  
Active Processes ◽  
The Russian Language ◽  
National Corpus

The purpose of the article is to study the development of lexical intensifiers in modern Rus-sian. Using the methods of semantic analysis, the author examines lexicographical data and materials from the Russian National Corpus. Lexical intensifiers continue to inspire scholars’ interest in lexicological, lexicographic, and normative aspects, and this study makes a new theoretical contribution to the study of the functional and semantic category of intensity as well as to the conceptualization of active processes in the vocabulary and lexical collocations of modern Russian. The results of the study can be used in the work of compiling definition dictionaries of the Russian language, namely coinage dictionaries. The class of lexical intensifiers includes primarily adjectives and adverbs. The most well-developed part of the intensifying scale is its right extreme: there are more units that express meaning of the high and absolute degree than those that express the middle and low degree of intensity. New intensifiers that appear in the language are also concentrated in this area of the scale. Intensifiers present an open and constantly widening class of words, new additions typically being semantic derivations of adjectives and adverbs. In the late 20th and early 21st century, the Russian language acquired new intensifiers that can be categorized as semantic neologisms (исполнение распоряжения нереально — нереально вкусное мороженое). The authors singles out the following mechanisms of expanding the class of intensifiers: 1. Syntagmatic widening: going beyond the typical collocation circle, determined by the rules of lexical collocations and fixed in the dictionaries. Here syntagmatic changes involve not only units with the semantically motivated collocation (запредельный, космический), but also those phraseologically connected (кромешный, закадычный); 2. Stylistic changes, manifested in determinologization of words and their “escape” from the bookish style, which widens the possibilities of using them in new and non-typical contexts (астрономические цены, клиническая дура); 3. Grammatical widening, when an adjective intensifier acquires its adverb “pair,” i. e., its syntactic derivative (космический — космически, закадычный — закадычно).

scholarly journals Semantic representation of the concept of “fairness” in the sense of “honesty” in of modern politicians (based on English and Russian journalistic texts)

Litera ◽  
2020 ◽  
pp. 106-115
Author(s):  
Lyubov' Mikhailovna Shatilova ◽  
Anastasiya Aleksandrovna Potashova
Keyword(s):  
Comparative Analysis ◽  
English Language ◽  
Semantic Analysis ◽  
Semantic Representation ◽  
Russian Language ◽  
Comparative Linguistics ◽  
Semantic Component ◽  
English Speaking ◽  
Independent Decision ◽  
Legal Character

The goal of this work consists in semantic analysis of the synonyms of the concept of “fairness” in the sense of "honesty" in speech of English-language and Russian-language modern politicians. The subject of this research is the semantics of lexemes representing the concept of honesty in speech of English and Russian politicians. The existing gaps in comparative linguistics with regards to comparative analysis of the concept of “fairness” and its semantic component in English and Russian journalistic texts define the relevance of this article. The scientific novelty lies in the attempt of comparative analysis of the semantic component of the synonyms of core lexemes of “fairness/honesty”, and their functionality in speech of modern politicians reflected in journalistic texts. In English and Russian languages, the concept of “fairness” is described by the following terms: honesty, law, objectivity, truth. The author conducts comparative analysis of semantics of the synonyms of the concept of fairness in the sense of “honesty”. It was established that in English and Russian journalistic texts featuring the speech of modern English and Russian politicians, honesty implies not only an honest attitude towards something, but also moral, professional, and social dignity that inspires respect, as well as informedness of society on the key decisions, freedom of opinion. Honesty is also openness of borders; willingness to consider ideas and opinions that differ from personal; certain rules and measures that do not lead to unworthy or unacceptable results, as well as an independent decision of the highest authorities. However, in speech of English-speaking politicians, honesty carries rather a legal character, as well as social justice; while in speech of Russian-speaking politicians, honesty means failure to commit immoral, antisocial doings, as well; as being honest first and foremost with yourself.

scholarly journals SEMANTIC ANALYSIS OF LITERARY TERMS BY LITERARY TYPES IN “THE CONCISE OXFORD DICTIONARY OF LITERATURE TERMS”

2021 ◽  
pp. 118-138
Keyword(s):  
Literary Criticism ◽  
Small Groups ◽  
Semantic Analysis ◽  
Literary Genres ◽  
Dramatic Works ◽  
The Subject ◽  
Oxford Dictionary ◽  
Germanic Languages ◽  
The Given ◽  
Theory Of Literature

The scientific research shows that literary terms in the Germanic languages were not studied uniformly. Literary terms, which were the subject of our research, have hardly been studied in the Slavic, Roman and Germanic languages. Objectives and methods: Therefore, it is relevant to study the terms of philosophy, culture and spirituality, ethics, aesthetics, religion, linguistics and especially literary criticism. The degree of study and significance of literary terms are carried out in the given article. The article also gives information about the dictionary of Chris Baldick –The Concise Oxford Dictionary of Literary Terms and the significant aspects of literary terms. Terms belonged to the theory of literature, its history, process and dramatic works are discussed. Epic, lyric and dramatic terms of literary genres were analyzed by thematic groups and the author's opinion on the interpretation of terms is expressed and explained in the article. Results: The Concise Oxford Dictionary of literary terms by Chris Baldick contains 1060 literary terms. These terms were divided into semantic groups according to literary types. Literary terms were grouped into epic, lyrical, and dramatic literary types. Literary terms in the dictionary were originally classified and studied in three main groups of literary type: prose, poetry, and drama. Conclusions: In the course of the research, it was noticed that there are some terms which can be included into both lyric and epic, or epic and dramatic, or to all three literary types. In addition, despite the existence of literary terms in the dictionary, there were also terms that did not belong to any literary type or genre and expressed general concepts in the literature that were also studied in a separate group. In the dictionary, we have analyzed the semantic groups included 142 epic, 329 lyrical, 110 dramatic, 330 terms belong to all three literary types and 149 terms that are not included in any literary type, which were further studied in small groups during our study.

scholarly journals Performance Evaluation of LSA, NMF and ILSA in Electronic Assessment of Free Text Document

2021 ◽  
pp. 46-56
Author(s):  
M. M. Rufai ◽  
A. O. Afolabi ◽  
O. D. Fenwa ◽  
F. A. Ajala
Keyword(s):  
Latent Semantic Analysis ◽  
Semantic Analysis ◽  
Semantic Representation ◽  
Free Text ◽  
Test Question ◽  
Text Document ◽  
Electronic Assessment ◽  
Term Similarity ◽  
F Measure ◽  
Improved Algorithm

Aims: To evaluate the performance of an Improved Latent Semantic Analysis (ILSA), Latent Semantic Analysis (LSA), Non-Negative Matrix Factorization (NMF) algorithms in an Electronic Assessment Application using metrics, Term Similarity, Precision, Recall and F-measure functions, Mean divergence, Assessment Accuracy and Adequacy in Semantic Representation. Methodology: The three algorithms were separately applied in developing an Electronic Assessment application. One hundred students’ responses to a test question in an introductory artificial intelligence course were used. Their performance was measured based on the following metrics, Term Similarity, Precision, Recall and F-measure functions, Mean divergence and Assessment Accuracy. Results: ILSA outperformed the LSA and NMF with an assessment accuracy of 96.64, mean divergence from manual score of 0.03, and recall, precision and f-measure value of 0.83, 0.85 and 0.87 respectively. Conclusion: The research observed the performance of an improved algorithm ILSA for electronic Assessment of free text document using Adequacy in Semantic Representation, Retrieval Quality and Assessment Accuracy as performance metrics. The results obtained from the experimental designs shows the adequacy of the improved algorithm in semantic representation, better retrieval quality and improved assessment accuracy.

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