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.

Bengali curse words

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The two female-specific vulgar terms also exist in the subject-person dataset.

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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:. Since incest is equal to committing sin in our country, this gaali is a serious annoyer. Kela- Kela in Assamese is suggestive of dick. Kela means Banana in general which has resemblance to, well you know.

Bengali curse words

Headlines Headline 1 Headline 2 Headline 3. Bulleted list - item 1 - item 2 - item 3. Numbered list 1. So if you want to tell your friend, 'you look amazing' you can also say, 'tomake hebby lagche'! Also said like, ' fatiye diyeche '. In Hindi is translates to 'faad diya' refers to doing something fantastically!

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The tf-idf is a numerical statistic that attempts to reflect the importance of a word in a document. Abstract The presence of abusive and vulgar language in social media has become an issue of increasing concern in recent years. Bapok khete, Fatafati dekhte, Chhatar matha , and the list goes on. We observe that BengSwearLex provides a high recall score in one corpus and very high precision scores in both corpora. The three important parameters of the embedding layer are input dimension , which represents the size of the vocabulary, output dimensions , which is the length of the vector for each word, input length , the maximum length of a sequence. Vulgar Non-vulgar Vulgar 1, Non-vulgar 2, Sazzed a Sazzed S. We provide a quantitative analysis on the presence of vulgarity in Bengali social media content based on the manual annotation. Table 3 Descriptions of two annotated corpora. Related Stories. A survey on automatic detection of hate speech in text. Exploring demographic language variations to improve multilingual sentiment analysis in social media. Table 2 Annotation statistics of two raters A1, A2 in subject-person dataset. In this paper, we provide the first comprehensive analysis on the presence of vulgarity in Bengali social media content. Pinker Pinker S.

Vulgarity or obscenity indicates the use of curse, swear or taboo words in language Wang, ; Cachola et al.

The high presence of some of the vulgar words, as shown in Fig. Why swear? The poor coverage of the sentiment lexicon is expected as it contains different types of negative words, thus may lack words that are particularly associated with vulgarity. They studied the ubiquity, utility, and contextual dependency of swearing on Twitter. Researchers studied the existence and socio-linguistic characteristics of swearing, cursing, incivility or cyber-bullying in social media Wang et al. The level of education and income are inversely correlated with the usage of vulgarity on social media, with education being slightly more strongly associated with the lack of vulgarity than income Cachola et al. We find that the sentiment lexicon shows a very low recall score, only 0. Whenever a class-balanced training set is employed, all the CML classifiers yield a higher recall score. Preotiuc-Pietro et al. Remember, Ishhhh from Devdas? Sob bapok! We set the batch size to 64, use a learning rate of 0. Related Stories. A review on offensive language detection; pp.