The present paper respects 'inversion' as a habit of arranging the language of modern English and Arabic poetry . Inversion is a significant phenomenon generally in modern literature and particularly in poetry that it treats poetic text as it is a violator to the ordinary text. The paper displays the common patterns and functions of inversion which are spotted in modern English and Arabic poetry in order to show aspects of similarities and differences in both languages. It concludes that inversion is most commonly used in English and Arabic poetry in which it may both satisfy the demands of sound correspondence and emphasis. English and Arabic poetic languages vary in extant to their manipulation of inverted styles as they show changeable frequencies of inversion. Finally , it is notable to mention other significant complementary roles of inversion in this paper as : to shape the aesthetic and the semantic indication , to add ambiguity and lay out to the poems , to represent the state of the poet in writing , and to modify the context . The manipulation of inversion as an information – packaging mechanism ( end focus and new information ) is also another compatible aspect of inversion in both languages.
BN Rashid, Ajes: Asian Journal of English Studies, 2013
Internal Music is considered as a basis to form music melody that sends rapture and
ecstasy within ones selves since it occurs directly on ears ( hearing) and since it tightens the
meaning to make it penetrating into Heart. It is rhythmic organization occurred inside the text
due to movements of internal sounds since rhythm heavily depends on language and
pronunciation. Repetition adds music melody to the poetic text since it increases music in
poetry. The sounds that reoccurred either be letters or words are no more than confirmation.
Thus , repetition is artistic phenomena most poets resorted to as to diverse his subjects and
metaphors he depicts in his poetry. The repetition has achieved artistic aesthetics , mean
In this study, we have created a new Arabic dataset annotated according to Ekman’s basic emotions (Anger, Disgust, Fear, Happiness, Sadness and Surprise). This dataset is composed from Facebook posts written in the Iraqi dialect. We evaluated the quality of this dataset using four external judges which resulted in an average inter-annotation agreement of 0.751. Then we explored six different supervised machine learning methods to test the new dataset. We used Weka standard classifiers ZeroR, J48, Naïve Bayes, Multinomial Naïve Bayes for Text, and SMO. We also used a further compression-based classifier called PPM not included in Weka. Our study reveals that the PPM classifier significantly outperforms other classifiers such as SVM and N
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Conclusion and results
1. The research concluded through considering the rhetorical visions,
appropriate relationships between utterances with a language derived
from the reality of the social, religious, and, cultural life.
2. The poet compound between realism and the documentation of the
poetic structure, its depth, and the conjugation of its symbolic
metaphors, and also between its phonetic music and the right artistic
nature and the inanimate rules to take in consideration what Dr. Ahmad
Haikal concluded that the tried to com up with something better than
that of the previous generation, but he is still following their orbit, and
their trend method of poem building.
3. The realistic images visionary r
Sentiment analysis refers to the task of identifying polarity of positive and negative for particular text that yield an opinion. Arabic language has been expanded dramatically in the last decade especially with the emergence of social websites (e.g. Twitter, Facebook, etc.). Several studies addressed sentiment analysis for Arabic language using various techniques. The most efficient techniques according to the literature were the machine learning due to their capabilities to build a training model. Yet, there is still issues facing the Arabic sentiment analysis using machine learning techniques. Such issues are related to employing robust features that have the ability to discrimina
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Abstract Lanɡauaɡes, like humans, need communication and interaction to prosper. One of the ways for a language to flourish is to borrow words from other languages. The southern regions of Iran and the coastal countries of Persian Gulf have had strong cultural relations since old times, with language being a dimension of these relations. With their land being geographically located in the realm of Islamic civilization and being Muslims, Baloch people have had strong connections with the Arab world and the Arabic language.Thus, many Arabic words have made their ways into Balochi language either directly or indirectly through persian language. Since each language has its own unique sound structure, these loanwords have undergone ph
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English, like any other language, has a number of such discourse markers including well, yes, surely, on the contrary, so and nevertheless. They are lexical items or grammatical forms typically serve to relate one utterance to another in discourse.
Discourse markers are considered as cues or signals for the reader or the hearer that make cohesion and coherence, In fact, these markers are found in various grammatical forms such as interjections, linking adverbials, greetings and farewells….etc. Discourse markers. Play a very important role, not only in conversation, but in written text as well.