In at least 400 European caves such as Lascaux, Chauvet and Altamira, Upper Palaeolithic Homo sapiens groups drew, painted engraved non-figurative signs from ~42,000 bp figurative images (notably animals) 37,000 . Since their discovery ~150 years ago, the purpose or meaning of has eluded researchers. Despite this, specialists assume that they were notational in some way. Using a database spanni...

Language is the main communication device to represent the environment and share a common understanding of the world that we perceive through our sensory organs. Therefore, each language might contain a great amount of sensorial elements to express the perceptions both in literal and figurative usage. To tackle the semantics of figurative language, several conceptual properties such as concrete...

The present study aimed firstly at investigating the impact of translators' style on figurative language translation from English into Persian. Secondly, it intended to find which strategies were most frequently adopted by Persian translators to translate figures of speech into Persian. Lastly, the study sought to check the extent of transference of figurative features of literary texts in Engl...

The research aims to identify types of figurative language, especially hyperbole, and analyze the meanings. data are taken from novel entitled "Remember Me” by Sophie Kinsella. method used in collecting was qualitative method. First, reading repeatedly understanding Me" Second, note-taking find out a language is Third, analyzing data. writer analyzed descriptively using Two theories this data, ...

Figurative expressions, such as idioms, are used orally and in writing everyday language. An idiom is an expression by itself or a part of sentence, its meaning cannot be derived from the literal constituents. Idioms can add extra level difficulty to language learning process (either L1 L2) because after understanding each word, learner has make sense figurative how use it correctly. From pedag...

This paper describes the system used by the ValenTo team in the Task 11, Sentiment Analysis of Figurative Language in Twitter, at SemEval 2015. Our system used a regression model and additional external resources to assign polarity values. A distinctive feature of our approach is that we used not only wordsentiment lexicons providing polarity annotations, but also novel resources for dealing wi...

Cognitive linguists contend that learners’ awareness of motivations is the key in not only second language acquisition but also figurative language learning. Two cognitive-oriented methods are proposed to raise L2 learners’ awareness on metaphoric/metonymic expressions and to enhance retention: instruction involving conceptual metaphors (CM) and instruction involving metaphoric mappings (MM). T...

Similes are easily obtained from web-driven and casebased reasoning approaches. Still, generating thoughtful figurative descriptions with meaningful relation to narrative context and author style has not yet been fully explored. In this paper, the author prepares the foundation for a computational model which can achieve this level of aesthetic complexity. This paper also introduces and evaluat...

In the past we have witnessed our machine learning method for sentiment analysis coping well with figurative language, but determining with uncertainty the polarity of mildly figurative cases. We have shown that for these uncertain cases, a rule-based system should be consulted. We evaluate this collaborative approach on the ”Rotten Tomatoes” movie reviews dataset and compare it with other stat...

It's become a caricature of autistic persons that they don't understand figurative language. Despite empirical evidence to the contrary, three of the four contributions to this special issue endorse this stereotype without question. And all four contributions attribute this supposed deficit to even shakier fallacies, such as the controversial claim that autistic people lack empathy or a 'theory...