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Found 7 papers, 1 papers with code
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT
In the online world, Machine Translation (MT) systems are extensively used to translate User-Generated Text (UGT) such as reviews, tweets, and social media posts, where the main message is often the author's positive or negative attitude towards the topic of the text.
Sentiment-Aware Measure (SAM) for Evaluating Sentiment Transfer by Machine Translation Systems
In translating text where sentiment is the main message, human translators give particular attention to sentiment-carrying words.
Fake or Real? A Study of Arabic Satirical Fake News
One very common type of fake news is satire which comes in a form of a news website or an online platform that parodies reputable real news agencies to create a sarcastic version of reality.
A First Dataset for Film Age Appropriateness Investigation
Film age appropriateness classification is an important problem with a significant societal impact that has so far been out of the interest of Natural Language Processing and Machine Learning researchers.
Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic
Using a per letter classification scheme in which each letter is classified as either a segment boundary or not, and using a memory-based classifier, with only word-internal context, prove effective and achieve a 92{\%} exact match accuracy at the word level.
