Absolutely, The Official Google AI Blog is a great resource for learning about Google’s research in artificial intelligence, including natural language processing. Here are some examples of the types of posts you can expect to find on the blog:

“BERT:

Pre-training of Deep Bidirectional Transformers for Language Understanding” – This post discusses Google’s Bidirectional Encoder Representations from Transformers (BERT) model, which achieved state-of-the-art results on a wide range of natural language processing tasks.

“Generating Diverse and Meaningful Text with GPT-2” –

This post discusses Google’s Generative Pre-trained Transformer 2 (GPT-2) model, which can generate high-quality, diverse, and contextually appropriate text.

“Making the Google Assistant more useful for you” –

This post discusses how Google is using natural language processing to improve the functionality of its virtual assistant, Google Assistant.

“Multilingual Universal Sentence Encoder for Semantic Retrieval” –

This post discusses Google’s Multilingual Universal Sentence Encoder (MUSE), which is a cross-lingual text embedding model that can be used for semantic retrieval tasks.

“Neural Code Search:

ML-based code search with natural language queries” – This post discusses how Google is using natural language processing to improve code search, which can help developers find relevant code snippets more quickly and easily.

I hope you find The Official Google AI Blog to be a helpful resource for learning about Google’s research in artificial intelligence, including natural language processing!