- Published on November 21, 2020
- In Deep Tech
Deep Dive in Datasets for Machine translation in NLP Using TensorFlow and PyTorch
With the advancement of machine translation, there is a recent movement towards large-scale empirical techniques that have prompted exceptionally massive enhancements in translation quality. Machine Translation is the technique of consequently changing over one characteristic language into another, saving the importance of the info text.
- By Ankit Das
With the advancement of machine translation, there is a recent movement towards large-scale empirical techniques that have prompted exceptionally massive enhancements in translation quality. Machine Translation is the technique of consequently changing over one characteristic language into another, saving the importance of the info text.
The ongoing research on Image description presents a considerable challenge in the field of natural language processing and computer vision. To overcome this issue, multimodal machine translation presents data from other methods, for the most part, static pictures, to improve the interpretation quality. In the below example, the model changes one language to another by taking into consideration both text and image.
Here, we will cover the a
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Ankit Das
A data analyst with expertise in statistical analysis, data visualization ready to serve the industry using various analytical platforms. I look forward to having in-depth knowledge of machine learning and data science. Outside work, you can find me as a fun-loving person with hobbies such as sports and music.
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