Archives for machine translation
DeLighT is a deep and light-weight transformer that distributes parameters efficiently among transformer blocks and layers
The post Complete Guide to DeLighT: Deep and Light-weight Transformer appeared first on Analytics India Magazine.
Researchers from Salesforce have released a new powerful generative language model that reaches a new milestone in generative language models’ history!
The post Guide to Salesforce’s CTRL: Conditional Transformer Language Model appeared first on Analytics India Magazine.
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 post Deep Dive in Datasets for Machine translation in NLP Using TensorFlow and PyTorch appeared first on Analytics India Magazine.
Over the last few years, natural language processing (NLP) techniques have witnessed fast growth in quality as well as usability. Today, NLP is one of the most trending topics of research in the field of STEM. Tech giants have been researching NLP, and applying newer deep learning methods to gain a deeper understanding of the…
The post 8 Different NLP Scenarios One Can Take Up For A Project appeared first on Analytics India Magazine.
Conversational AI has been a major area for innovation, as it serves as a bridge between the machine and human interaction. It plays an important role in the digital transformation for organisations. The demand for conversational AI is increasing as people are embracing these evolving technologies. Regardless of the size, both large and small organisations…
The post How Conversational AI Is Changing The Face Of Modern B2C Communication appeared first on Analytics India Magazine.
Deep Learning models are creating state-of-the-art models on a number of complex tasks including speech recognition, computer vision, machine translation, among others. However, training deep learning models such as deep neural networks is a complex task as, during the training phase, inputs of each layer keep changing. Normalization is an approach which is applied during…
The post Understanding Normalization Methods In Deep Learning appeared first on Analytics India Magazine.
Cross-linguistic references can be understood by humans based on context. Words learnt in one language like ‘mother’ or ‘maa’ can be associated immediately when heard in another language. Now, attempts have been made to induce this trait in machines and the current machine learning models have employed transfer learning techniques to make smart translations. In…
The post How To Perfect Neural Machine Translation With Generative Networks appeared first on Analytics India Magazine.