Billion AI: Flipkart lays bare its ambition for the next 200 m Desi folks

In this article, I am going to describe highlights from a recent event hosted by Flipkart where they talked about business and technical aspects regarding what it takes to woo the next 200 million users in India, a lot of whom use Indian languages like Hindi, Tamil, etc.

Neural Machine Translation using Seq2Seq Modelling using PyTorch.

In this post, we will be building an LSTM based Seq2Seq model with the Encoder-Decoder architecture for machine translation without attention mechanism.

How To Auto-Translate Websites Without Writing Code

Machine translation has come a long way since the application of neural networks to this task in the middle of the last decade. At the same time, the science of localizing websites to extend coverage to additional markets has grown by leaps and bounds.

Lost In (Machine) Translation

Lost In (Machine) Translation. Small batch machine translation of speeches and news articles (English-to-Chinese and vice versa) in under-30 lines of code.

Machine Translation using Neural Networks

Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words.

Point your camera at things to hear how to say them in another language

Introducing Thing Translator with Google Cloud Vision and Translate API. When you travel to countries where you don’t speak their language, Google Translate has become an invaluable tool. In most cases, you will speak to the app or type in the word to get the translation. Nowadays, with the camera feature in Google Translate, it allows you to essentially point your camera at text written in another language and then get a translation into your native one.

From RNN to Transformers

The main aim of this article is to introduce you to language models, starting with neural machine translation (NMT) and working towards generative language models.

Semantic Code Search Using Transformers and BERT- Part III: Converting Functions

Continued from Part-II discusses the methodology used to convert functions to vectors and create a search engine

How to Build Your Own Machine Translation Service with Transformers

Using the latest Helenski NLP models available in the Transformers library to create a standardized machine translation service. In this post, i'll share you How to Build Your Own Machine Translation Service with Transformers

Can Machines Think? The First Steps

French AI researcher Yann LeCun once said: “Whether we’ll able to use new methods to create human-level intelligence, there’s probably…