Bengali curse words

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Federal government websites often end in. The site is secure. The following information was supplied regarding data availability:. The presence of abusive and vulgar language in social media has become an issue of increasing concern in recent years. However, research pertaining to the prevalence and identification of vulgar language has remained largely unexplored in low-resource languages such as Bengali. In this paper, we provide the first comprehensive analysis on the presence of vulgarity in Bengali social media content. We develop two benchmark corpora consisting of 7, reviews collected from YouTube and manually annotate them into vulgar and non-vulgar categories.

Bengali curse words

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Remember, Ishhhh from Devdas? The labeling is performed by three annotators A1, A2, A3who are Bengali native speakers; Among them, two are male and one female A1: male, A2: female, A3: male.

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In a diverse and multilingual country like India, learning new languages always is adrenaline pumping. Our social narrative resonates with multiples cultures and practices and we are downright proud of that. To be a true Indian however, you need to mouth the profanities like a boss for fitting in. Turns out, using cuss words are not only college students but they are really stress-busting and helps vent your anger in a better way. This is the spirit of India and here we have assembled a number of cuss words from different languages of India that will make you go ROFL:.

Bengali curse words

Vulgarity or obscenity indicates the use of curse, swear or taboo words in language Wang, ; Cachola et al. Primarily, it involves the lexical fields of sexuality, such as sexual organs and activities, body orifices, or other specific body parts. Cachola et al. Although the terms obscenity, swearing, and vulgarity have subtle differences in their meaning and scope, they are closely linked with some overlapping definitions. Thus, in this paper, we use them interchangeably to refer to the text that falls into the above-mentioned definition of Cachola et al. With the rapid growth of user-generated content in social media, vulgar words can be found in online posts, messages, and comments across languages. The occurrences of swearing or vulgar words are often linked with abusive or hatred context, sexism, and racism Cachola et al. Hence, identifying vulgar or obscene words has practical connections to understanding and monitoring online content. Furthermore, vulgar word identification can help to improve sentiment classification, as shown by various studies Cachola et al. Social media platforms such as Twitter, Facebook, Instagram, YouTube have made virtual social interaction popular by connecting billions of users.

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Table 3 Descriptions of two annotated corpora. Karim et al. Besides, it is imperative to analyze how vulgarity is related to sentiment. This is yet another word used to address all things great and awesome. Among the top ten vulgar words in the subject-person dataset, we notice all of them except the last word last row are female-specific sexually vulgar terms. Razavi et al. Yes, the food is an extremely important factor, but what makes me miss my city and my people more is the lingo. Vulgar Non-vulgar Vulgar 1, Non-vulgar 2, Additional Information and Declarations Competing Interests The authors declare that they have no competing interests. Table of Contents. Abusive content detection in transliterated bengali—english social media corpus. Copy Download. However, the corresponding Bengali words are highly unlikely to be used in a similar context in Bengali, due to the difference in the socio-culture of the Bengali native speakers i. Advances in Data and Information Sciences.

And the best way to express our emotion in any language is the Slangs. Yes, slangs are the part of any language that gives it another side, another face. There are some that hurt, and some that invoke laughter.

Mikolov et al. A deep learning approach to detect abusive bengali text. We report the comparative performances of various approaches utilizing precision, recall and F1 measures. Handbook of Linguistic Annotation. However, none of the existing works primarily focused on recognizing vulgarity or profanity in Bengali social media data. Proceedings of the 27th International Conference on Computational Linguistics; McEnery McEnery T. Published online Oct Wang et al. Class-balancing using class weighting: This setting considers the distribution of the samples from different classes in the dataset. Agreement: Both annotators A1, A2 assign the same label to the review. A coefficient of agreement for nominal scales. Vulgarity or obscenity indicates the use of curse, swear or taboo words in language Wang, ; Cachola et al.