scholarly journals MESSI: Mutant Evaluation by Static Semantic Interpretation

2012 ◽  
Author(s):  
Matthew Patrick ◽  
Manuel Oriol ◽  
John A. Clark
Keyword(s):  
Semantic Interpretation ◽  
Static Semantic

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

The place of the plant world in the worldview system of transoxiana sufism in 16th century

2020 ◽  
Vol 6 (Extra-A) ◽  
pp. 157-161
Author(s):  
Lutfullo Eshonovich Ismoilov ◽  
Ramil Tagirovich Yuzmukhametov ◽  
Markhabo Tukhtasunovna Rajabova
Keyword(s):  
Comparative Method ◽  
Literary Analysis ◽  
Semantic Interpretation ◽  
16Th Century ◽  
Main Method ◽  
Holistic Understanding ◽  
The World ◽  
Lives Of The Saints

The article considers the topic of the Plant World in the Sufi writings of the 16th century Transoxiana, based on the material of manakibs, i. e. the so-called Lives of the Saints. The significance and relevance of the topic is due to the need to study the issues of semantic interpretation of the concept of plant and plant world in Sufi writings. Hence, the purpose of this article is to disclose the diverse meanings of the concept of the “World of Plants” contained in the 16th-century Transoxiana manakibs of such authors as Abdurakhman Jami, Abu-l Baka b. Khodzha Bakha-ud-din, Khusein Serakhsi. The main method in the study of this issue is the historical and comparative method, and the method of literary analysis, which allows you to create a holistic understanding of the symbolism of the Plant World in Sufi writings of Transoxiana of the 16th century.      

Louis Vierne

2017 ◽  
Author(s):  
Helen Abbott
Keyword(s):  
Adhesion Strength ◽  
Statistical Data ◽  
Semantic Interpretation ◽  
Strength Tests ◽  
Poetic Vision

Organiste-titulaire of Notre-Dame de Paris for nearly forty years, Louis Vierne composed over sixty songs, including a set of five Baudelaire songs, Cinq Poèmes de Baudelaire, published in 1921. This analysis covers: (a) the context of composition; (b) the connections established between selected poems; (c) the statistical data generated from the adhesion strength tests; and (d) how the data shape an evaluation of Vierne’s settings of Baudelaire. Findings reveal how the poetic line is minimally disrupted in these songs, as the vocal line remains very independent of the piano. As a result, the bonds between poem and music are largely abhesive, which means it is possible to recover the poem intact from the song score. As complex mélodies, the lack of interference with the fabric of Baudelaire’s versification, together with limited musical-semantic interpretation, means that Vierne’s music remains attentive towards Baudelaire’s poetic vision, offering an accretive outcome overall.

Ritualizing Iconic Jewish Texts

2020 ◽  
pp. 239-255
Author(s):  
James W. Watts
Keyword(s):  
Semantic Interpretation ◽  
Religious Communities ◽  
Christian Tradition ◽  
Oral Performance ◽  
The Bible ◽  
Christian Worship ◽  
Scholarly Attention

Bibles and parts of bibles are themselves used as ritual objects in Jewish and Christian worship. Their display and manipulation, oral performance, and semantic interpretation have been ritualized by synagogues and churches since antiquity. The origins of these practices are rooted in the Bible itself. Their influence has shaped every Jewish and Christian tradition and reaches beyond them to Muslims, Manicheans, and other religious communities. This chapter and its companions in this volume on Christianity and Islam focus mostly on how the iconic dimension of scriptures gets ritualized, because the iconic dimension has received less scholarly attention than the ritualization of scripture’s oral performance, artistic illustration, and semantic interpretation.

scholarly journals Generation of Cross-Lingual Word Vectors for Low-Resourced Languages Using Deep Learning and Topological Metrics in a Data-Efficient Way

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1372
Author(s):  
Sanjanasri JP ◽  
Vijay Krishna Menon ◽  
Soman KP ◽  
Rajendran S ◽  
Agnieszka Wolk
Keyword(s):  
Deep Learning ◽  
Language Processing ◽  
Semantic Space ◽  
Semantic Interpretation ◽  
Learning Approaches ◽  
Qualitative Comparison ◽  
Bilingual Dictionary ◽  
Pos Tagging ◽  
Part Of Speech ◽  
Cross Lingual

Linguists have been focused on a qualitative comparison of the semantics from different languages. Evaluation of the semantic interpretation among disparate language pairs like English and Tamil is an even more formidable task than for Slavic languages. The concept of word embedding in Natural Language Processing (NLP) has enabled a felicitous opportunity to quantify linguistic semantics. Multi-lingual tasks can be performed by projecting the word embeddings of one language onto the semantic space of the other. This research presents a suite of data-efficient deep learning approaches to deduce the transfer function from the embedding space of English to that of Tamil, deploying three popular embedding algorithms: Word2Vec, GloVe and FastText. A novel evaluation paradigm was devised for the generation of embeddings to assess their effectiveness, using the original embeddings as ground truths. Transferability across other target languages of the proposed model was assessed via pre-trained Word2Vec embeddings from Hindi and Chinese languages. We empirically prove that with a bilingual dictionary of a thousand words and a corresponding small monolingual target (Tamil) corpus, useful embeddings can be generated by transfer learning from a well-trained source (English) embedding. Furthermore, we demonstrate the usability of generated target embeddings in a few NLP use-case tasks, such as text summarization, part-of-speech (POS) tagging, and bilingual dictionary induction (BDI), bearing in mind that those are not the only possible applications.

scholarly journals Fuzzy Covering-Based Three-Way Clustering

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Dandan Yang
Keyword(s):  
Nearest Neighbor ◽  
Structural Information ◽  
Boundary Region ◽  
Global Perspective ◽  
Semantic Interpretation ◽  
Entropy Theory ◽  
Fuzzy Similarity ◽  
Fuzzy Similarity Relation ◽  
The Universe ◽  
Better Than

This paper investigates the three-way clustering involving fuzzy covering, thresholds acquisition, and boundary region processing. First of all, a valid fuzzy covering of the universe is constructed on the basis of an appropriate fuzzy similarity relation, which helps capture the structural information and the internal connections of the dataset from the global perspective. Due to the advantages of valid fuzzy covering, we explore the valid fuzzy covering instead of the raw dataset for RFCM algorithm-based three-way clustering. Subsequently, from the perspective of semantic interpretation of balancing the uncertainty changes in fuzzy sets, a method of partition thresholds acquisition combining linear and nonlinear fuzzy entropy theory is proposed. Furthermore, boundary regions in three-way clustering correspond to the abstaining decisions and generate uncertain rules. In order to improve the classification accuracy, the k-nearest neighbor (kNN) algorithm is utilized to reduce the objects in the boundary regions. The experimental results show that the performance of the proposed three-way clustering based on fuzzy covering and kNN-FRFCM algorithm is better than the compared algorithms in most cases.

scholarly journals The Role of Prosodic Breaks and Pitch Accents in Grouping Words during On-line Sentence Processing

2011 ◽  
Vol 23 (9) ◽  
pp. 2447-2467 ◽  
Author(s):  
Sara Bögels ◽  
Herbert Schriefers ◽  
Wietske Vonk ◽  
Dorothee J. Chwilla
Keyword(s):  
Sentence Processing ◽  
Information Structure ◽  
Pitch Accent ◽  
Semantic Interpretation ◽  
N400 Effect ◽  
Cambridge University ◽  
On Line ◽  
Group Words ◽  
Pitch Accents

The present study addresses the question whether accentuation and prosodic phrasing can have a similar function, namely, to group words in a sentence together. Participants listened to locally ambiguous sentences containing object- and subject-control verbs while ERPs were measured. In Experiment 1, these sentences contained a prosodic break, which can create a certain syntactic grouping of words, or no prosodic break. At the disambiguation, an N400 effect occurred when the disambiguation was in conflict with the syntactic grouping created by the break. We found a similar N400 effect without the break, indicating that the break did not strengthen an already existing preference. This pattern held for both object- and subject-control items. In Experiment 2, the same sentences contained a break and a pitch accent on the noun following the break. We argue that the pitch accent indicates a broad focus covering two words [see Gussenhoven, C. On the limits of focus projection in English. In P. Bosch & R. van der Sandt (Eds.), Focus: Linguistic, cognitive, and computational perspectives. Cambridge: University Press, 1999], thus grouping these words together. For object-control items, this was semantically possible, which led to a “good-enough” interpretation of the sentence. Therefore, both sentences were interpreted equally well and the N400 effect found in Experiment 1 was absent. In contrast, for subject-control items, a corresponding grouping of the words was impossible, both semantically and syntactically, leading to processing difficulty in the form of an N400 effect and a late positivity. In conclusion, accentuation can group words together on the level of information structure, leading to either a semantically “good-enough” interpretation or a processing problem when such a semantic interpretation is not possible.

RESOLVING INFINITARY PARADOXES

2017 ◽  
Vol 82 (2) ◽  
pp. 709-723 ◽  
Author(s):  
MICHAŁ WALICKI
Keyword(s):  
Normal Form ◽  
Semantic Interpretation

AbstractGraph normal form, GNF, [1], was used in [2, 3] for analyzing paradoxes in propositional discourses, with the semantics—equivalent to the classical one—defined by kernels of digraphs. The paper presents infinitary, resolution-based reasoning with GNF theories, which is refutationally complete for the classical semantics. Used for direct (not refutational) deduction it is not explosive and allows to identify in an inconsistent discourse, a maximal consistent subdiscourse with its classical consequences. Semikernels, generalizing kernels, provide the semantic interpretation.

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