translation is an active process in which a meaning is transferred from a source to a target language. during this process, meaning must have accordance with two main semantic sub-systems: signification and evaluation. signification is related to a signified unit of a linguistic sign and its encompassing properties known as seme. however, evaluation includes a range of different actualizations ...

Since the past 10 years, theory of semantic waves has further progressed. This is deeply rooted in knowledge structures, legitimation code theory, and systemic functional linguistics. In addition, can also be applied discourse analysis, language learning, teaching, many other fields.

this study investigated the effect of using visual aids, semantic elaboration, and visual aids plus semantic elaboration on the iranian efl learners' vocabulary learning. to conduct the study, the researchers assigned 49 elementary learners to three homogeneous groups according to their proficiency level. then, a pre-test of paribakht and wesche's vocabulary knowledge scale was given ...

the immense extent and richness of arabic lexical resources which bring about a great semantic extension, emerge in different ways, one of which is sobriquet. arabs used “alam” (proper noun) in three different forms, namely sobriquet, nickname and noun. in certain cases and due to rhetoric and semantic reasons, arabs used sobriquet instead of noun or nickname. gradually, this application became...

We propose a novel Named Entity Recognition (NER) system based on a machine learning technique and a semantic network. The NER system is able to exploit the advantages of semantic information, coming from Expert System proprietary technology, Cogito. NER is a task of Natural Language Processing (NLP) which consists in detecting, from an unformatted text source and classify, Named Entities (NE),...

Topic modeling is a probabilistic model that identifies topics covered in text(s). In this paper, were loaded from two implementations of topic modeling, namely, Latent Semantic Indexing (LSI) and Dirichlet Allocation (LDA). This analysis was performed corpus 1000 academic papers written English, obtained PLOS ONE website, the areas Biology, Medicine, Physics Social Sciences. The objective to v...

Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data that can be leveraged to build and augment knowledge graphs. However, they rarely provide a semantic model to describe their contents. Semantic models of data sources represent the implicit meaning of the data by specifying the concepts and the relationships wit...

In our current study, we applied whole head magnetoencephalography (MEG) in a subsequent memory paradigm. Magnetic fields were recorded while 20 healthy subjects (10 females, 10 males) incidentally encoded words during semantic and structural verbal processing tasks. Physiological data were then sorted according to the performance in subsequent memory tests and according to levels of processing...

Abstract There are now numerous observations of subtle right hemisphere (RH) contributions to language comprehension. It has been suggested that these contributions reflect coarse semantic coding in the RH. That is, the RH weakly activates large semantic fields-including concepts distantly related to the input word-whereas the left hemisphere (LH) strongly activates small semantic fields-limite...

Abstract This article discusses Latinate Modern Greek (MG) terminology in the light of language planning, contact, transliteration, registers, and speakers’ attitudes. It starts by describing sociolinguistic aspects MG with respect to borrowing proceeds case studies terms their Greek-based synonyms from various science, arts, social, technical fields. Focusing on phonological, morphological, se...