Seyede Sahar Javid; Jalal Rahimian; Amirsaeid Moloodi; Alireza Khormaee
Abstract
The present study aims at examining the possible relation between metaphor and impoliteness in the context of interpersonal media gossip. To this end, we collected data related to 20 celebrities (10 actors and 10 actresses) regarding 60 linguistic situations that occurred from August 2018 to April 2020. ...
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The present study aims at examining the possible relation between metaphor and impoliteness in the context of interpersonal media gossip. To this end, we collected data related to 20 celebrities (10 actors and 10 actresses) regarding 60 linguistic situations that occurred from August 2018 to April 2020. Words under examination were 51449. According to the findings of the study, human conceptualization based on source domains such as shit/ animal waste matter, useless things, cartoon/ fictional characters, useless money, dirty substance, imaginary/ metaphysical beings, mushroom, bread, weekdays, fat, and disease/blight were accompanied by impoliteness. These findings justify the role of impoliteness in confirming the direct relation between metaphor and impoliteness to the extent that human is considered as one of the above domains. Interpersonal media gossip prepares the grounds for the use of 345 metaphors along with impoliteness which has its roots in special features of this type of gossip. Among all source domains, concepts such as shit/ animal waste matter are of the highest frequencies. Among impoliteness strategies related to naming, one must point to the negative impoliteness sub-strategy. Language users attempt to hurt the positive face of people from themselves by using positive impoliteness.
Zahra Alimorad; Amir Saeid Molodi; Roghayeh Salahi
Abstract
The present study aimed to examine and compare the knowledge sources and strategies used to infer the meaning of Persian words derived from Arabic by successful and less successful Arab-speaking learners of Persian. To achieve this objective, a standard reading test and think-aloud protocols were used ...
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The present study aimed to examine and compare the knowledge sources and strategies used to infer the meaning of Persian words derived from Arabic by successful and less successful Arab-speaking learners of Persian. To achieve this objective, a standard reading test and think-aloud protocols were used to collect the necessary data. At the outset of the study, 10 Lebanese Arab speaking learners of Persian were asked to express the meanings of 64 de-contextualized Persian words derived from Arabic. Then, depending on the number of words whose meanings were unknown to them, each participant was asked to express the meanings of the 64 unfamiliar words in a short story. During this process, they were asked to elaborate on the knowledge sources and strategies they used to infer the meanings of the unknown words. Meanwhile, their voice was recorded, and later transcribed, and coded. Inter- and intra-coding reliabilities were also checked. Moreover, the reading comprehension test was given to the participants in order to categorize them into successful and less successful readers. Results of the study showed that the successful readers used fewer knowledge sources and strategies to infer the meanings of Persian words derived from Arabic compared to their less successful counterparts.
Azade Mirzaei; Amir Saeid Moloodi
Abstract
The first semantic roles corpus in Persian language, containing about 30,000 sentences from contemporary Persian language, is manually annotated. This corpus, based on the concept of thematic roles of Fillmore, adds a layer of predicate-argument information to the syntactic structures of Persian Dependency ...
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The first semantic roles corpus in Persian language, containing about 30,000 sentences from contemporary Persian language, is manually annotated. This corpus, based on the concept of thematic roles of Fillmore, adds a layer of predicate-argument information to the syntactic structures of Persian Dependency Treebank. In this corpus, the verbs, propositional nouns and adjectives are regarded as the predicates of the sentences and are annotated according to their argument structure. The data was prepared based on Conference on Natural Language Learning (CoNLL) dependency format. Semantic tags used as the semantic annotations include thematic roles and functional tags. Thematic roles labels present the argument structure of the predicates of the sentences, and functional tags modify the verb or the whole sentence. The number of thematic roles tags and functional tags are 27 and 15, respectively. The two tags of NEGATION and MODALS are used as the functional tags.
