bangla text to image generator online free

This work aims to develop such a system by incorporating attention to the Seq2Seq model and justifying its applicability by comparing it with baseline models. Existing literature shows a lack of quality research on this text generation problem in the Bangla language, whereas many languages show excellent results. Research shows that the attention mechanism guides the model to concentrate on specific inputs. However, the simple Seq2Seq model fails to capture the long-term relationship on the input sequence. Sequence-to-Sequence (Seq2Seq) is an algorithmic approach to address that scenario by utilizing layers of recurrent units. In such scenarios, the input is a sequence of text, and the output is also a sequence, but they differ in length. Text summarization, Named entity recognition, Question answering are some of them where a common task for a machine is to generate coherent text. Natural Language Processing (NLP) is the computational domain for addressing those limitations by solving human language-related problems. Information extraction from this enormous amount of data by manual inspection is time-consuming, cumbersome, and sometimes impossible. Social media, blogs, online newspapers, government documents are some notable textual data sources. Among them, textual data are a great source of information where people share their expressions in written format. Internet is continuously flourishing with data in many forms.

In this AI-driven digital era, the pervasive nature of digital data is possible due to the widespread and cheap access to the Internet.

Bangla text to image generator online free