Introduction You must be well versed in what Translation means. Simply put, it is the process of converting text from one language to another while keeping the exact meaning intact. For example, the translation of the Hindi sentence “क्या आपने खाना खा लिया?” to English would be “have you eaten?” But…

We at NeuralSpace have constantly been developing to improve the NeuralSpace Platform and give our users more and more language AI capabilities that we packaged together in our latest release, which we have called Nami. …

To build Natural Language Processing (NLP) solutions for any language, the most vital thing one needs is data in that language. There are above 7000 languages spoken by people across the world but out of these 7000 languages, only about 20 have text corpora of hundreds of millions of words…

Introduction Any language processing task requires data, more the data the better. And we all wish we could generate data magically. Getting more data is not always easy, it requires a lot of manual effort and most importantly, a lot of money. What if you could generate semantically similar data from…

Introduction If you train NLP models, in fact, any AI models, from scratch, you have definitely asked yourself this question: “What is the most efficient strategy to collect data and train models, so they produce the best possible results for your unique use case?” Even if you had access to a…

What is language detection? If the users of your application are multilingual, you naturally have the need to detect which language they are speaking or writing in. In Natural Language Processing (NLP), language detection is a computational approach to this problem. …

We, at NeuralSpace, are back with another comparative study. This time with Azure Cognitive Services and Google Cloud’s Dialog Flow for Named Entity Recognition (NER) with automatic model training (called AutoNLP). In Part 1, we performed a similar study for AutoNLP Entity Extraction services of Hugging Face and AWS Comprehend…

We at NeuralSpace have been constantly developing to elevate the NeuralSpace Platform and give our users more and more language AI capabilities. The wait is finally over! We are excited to share the latest updates on our Platform. Onboarding Process Whenever you create a new project on the NeuralSpace Platform, you can…

A million examples in 51 languages — the Amazon MASSIVE dataset. With their open-source code and publicly released models, Amazon Science recently published a promising dataset aligned to their vision of multilingual Natural Language Understanding (NLU). The researchers also provide examples to perform multilingual NLU modelling with strong baseline results…