Cyberbullying or Online harassment detection on social media for various major languages
is currently being given a good amount of focus by researchers worldwide. Being the …

In this paper, we present Bengali word embeddings and it's application in the classification
of news documents. Word embeddings are multi-dimensional vectors that can be created by …

In this paper we discuss the performance of three-word embedding methods on Bangla
corpus. Word embedding is a big part of natural language processing related research …

In this paper, we propose a contextual similarity based approach for identification of stems or
root forms of Bangla words using N-gram language model. The core purpose of our work is …

Suspicious Bangla text detection is a text classification problem of determining Bangla texts
into suspicious and non suspicious categories. In this paper, we have proposed a machine …

The automated categorization of text documents into predetermined categories has
witnessed a growing in the last few years, due to the huge availability of documents in digital …

Detecting parts of speech of words in a sentence efficiently is an inseparable task in natural
language processing (NLP). The goal of this study is to detect the parts of speech of words in …

In this study, we present the first spell error corpus for the Indonesian Language (SPECIL).
This corpus provides a comprehensive resource for researchers and practitioners to detect …

Document classification is an open problem in library, information, and computer sciences
towards assigning documents to one or more classes. The interest of linguistic researchers …

Language models are generally employed to estimate the probability distribution of various
linguistic units, making them one of the fundamental parts of natural language processing …