As of my last knowledge update in January 2022, Google provides various Natural Language Processing (NLP) services and tools through its Google Cloud Platform (GCP). These services cover a range of NLP functionalities, and they might not be explicitly categorized as “Google NLP Categories” in a specific official documentation or terminology. However, I can provide information on some of the key NLP services offered by Google Cloud:

Cloud Natural Language API in Google NLP:

Entity Recognition: Identifying and classifying entities such as people, organizations, locations, events, and products.
Sentiment Analysis: Determining the sentiment of a piece of text (positive, negative, or neutral).
Syntax Analysis: Extracting information about the syntax and structure of sentences.

Conversational Agents: Building chatbots and conversational interfaces for applications.
Intent Recognition: Understanding the user’s intention from their input.
AutoML Natural Language:

Custom Model Training: Allowing users to train custom machine learning models for specific NLP tasks.
BERT (Bidirectional Encoder Representations from Transformers):

Google has contributed to the development of BERT, a pre-trained language representation model that can be fine-tuned for various NLP tasks.

TensorFlow Text Processing:

Leveraging TensorFlow for various text processing tasks, including NLP.
It’s important to note that Google continues to evolve its cloud services and may introduce new features or updates beyond my last knowledge update in January 2022. For the most up-to-date and detailed information, I recommend checking Google Cloud’s official documentation or contacting their support.

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