Text generation is a rapidly evolving field of Natural Language Processing (NLP) with larger models proposed very often setting new state-of-the-art. These are exorbitantly effective in learning the representation words and their internal coherence particular language. However, an established context-driven, end to text model rare, even more so for Bengali In this paper, we have Bidirectional g...

The majority of functional models language, which purport to account for text, do not recognize the distinct dimension corresponding “discourse”, as conceived here. Instead, various semantic-pragmatic aspects use indexical expressions, in particular, tend be uniquely terms textual environment markers involved. Correlatively, invocation “context” such approaches tends limited essentially co-text...

Abstract: Chuang Tzu (????), as a traditional Chinese canon, has been translated into English for more than 100 years since 1881, successfully carving niche in the realm of world literature, which become an earth-shattering cultural event academia overseas sinology and literature. According to statistics, book 12 full translations, 50 selected two adaptations. The metamorphosis process “full tr...

Short text is ambiguous and often relies predominantly on the domain context at hand in order to attain semantic relevance. Existing classification models perform poorly short due data sparsity inadequate context. Auxiliary context, which can provide sufficient background regarding domain, typically available several application scenarios. While some of existing works aim leverage real-world kn...