Determining the Logical Relation between Two Sentences by Using the Masked Language Model of BERT

Author(s):  
Yi Zhao ◽  
Rui Cao ◽  
Jing Bai ◽  
Wen Ma ◽  
Hiroyuki Shinnou
Author(s):  
Larisa V. Kalashnikova

The article enlightens the probem of nonsense and its role in the development of creative thinking and fantasy, and the way how the interpretation of nonsense affects children imagination. The function of imagination inherent to a person, and especially to a child, has a powerful potential – to create artificially new metaphorical models, absurd and most incredible situations based on self-amazement. Children are able to measure the properties of unfamiliar objects with the properties of known things. It is not difficult for small researchers to replace incomprehensible meanings with familiar ones; to think over situations, to make analogies, to transfer signs and properties of one object to another. The problem of nonsense research is interesting and relevant. The element of the game is an integral component of nonsense. In the process of playing, children cognize the world, learn to interact with the world, imitating the adults behavior. Imagination and fantasy help the child to invent his own rules of the game, to choose language elements that best suit his ideas. The child uses the learned productive models of the language system to create their own models and their own language, attracting language signs: words, morphs, sentences. Children’s dictionary stimulates word formation and language nomination processes. Nonsense-words are the result of children’s dictionary, speech errors and occazional formations, presented in the form of contamination, phonetic transformations, lexical substitution, implemented on certain models. The first two models are phonetic imitation and hybrid speech, based on the natural language model. The third model of designing nonsense is represented by words that have no meaning at all and can be attributed to words-portmonaie. Due to the flexibility of interframe relationships and the lack of algorithmic thinking, children can not only capture the implicit similarity of objects and phenomena, but also create it through their imagination. Interpretation of nonsense is an effective method of developing imagination in children, because metaphors, nonsense as a means of creating new meanings, modeling new content from fragments of one’s own experience, are a powerful incentive for creative thinking.


Author(s):  
Ni Ketut Mirahayuni ◽  
Susie Chrismalia Garnida ◽  
Mateus Rudi Supsiadji

Abstract. Translating complex structures have always been a challenge for a translator since the structures can be densed with ideas and particular logical relations. The purpose of translation is reproducing texts into another language to make them available to wider readerships. Since language is not merely classification of a set of universal and general concept, that each language articulates or organizes the world differently, the concepts in one language can be radically different from another. One issue in translation is the difference among languages, that the wider gaps between the source and target languages may bring greater problems of transfer of message from the source into the target languages (Culler, 1976). Problematic factors involved in translation include meaning, style, proverbs, idioms and others. A number of translation procedures and strategies have been discussed to solve translation problems. This article presents analysis of complex structures in scientific Indonesian, the problems and effects on translation into English. The study involves data taken from two research article papers in Indonesian to be translated into English. The results of the analysis show seven (7) problems of Indonesian complex structures, whose effect on translation process can be grouped into two: complex structures related to grammar (including: complex structure with incomplete information, run-on sentences, redundancy , sentence elements with inequal semantic relation, and logical relation and choice of conjunctor) and complex structures related to information processing in discourse (including: front-weight- structure and thematic structure with changes of Theme element). Problems related to grammar may be solved with language economy and accuracy while those related to discourse may be solved with understanding information packaging patterns in the target language discourse. Keywords: scientific language, complex structures, translation


2015 ◽  
Author(s):  
Han Xu ◽  
Eric Martin ◽  
Ashesh Mahidadia
Keyword(s):  

1997 ◽  
Author(s):  
Ciprian Chelba ◽  
David Engle ◽  
Harry Printz ◽  
Frederick Jelinek ◽  
Eric Ristad ◽  
...  

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