Amazon Lex
Dialogflow
IBM Watson Assistant
Microsoft Bot Framework
Tars
Botpress
Chatfuel
SentiOne
FirstLanguage India
Hugging Face
Wit.ai
Dialogflow
Replika
Mitsuku
Cleverbot.io
rasa NLU
Our motto is 'NLP for the masses'. As you all know NLP requires specialized developers to build language based apps. We usually talk about training models and picking the right algorithm for an NLP task like for example Sentiment Analysis. This may be daunting for non-NLP developers if they are not well versed with the subject.
Any developer with an idea related to any app which requires text or speech processing should be able to develop that idea into reality. We at FirstLanguage enable that by providing an easy to use API at an affordable cost for a wide range of NLP tasks.
We cater to basic building block tasks like Stemming, Lemmatizer, Morphological Analyzer, POStag etc to advanced tasks like Sentiment Analysis or classification, Question Answering, Translation, Summarization etc.
We provide a Free plan to try our API or build your prototype, no credit card required. It is free for life until you decide to upgrade.
We provide API documentation which explains each and every API and what it does and how to use it. The documentation page also provides Try It feature which you can use to try our APIs directly in the browser. The documentation also provides code snippets in multiple coding languages.
We also provide SDKs for our API in Python and Typescript.
Amazon Lex FirstLanguage IndiaBased on our record, Amazon Lex seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
However, APIs like Watson Assistant or Amazon Lex make it easy to build services that can apply logic to observed patterns in those natural-language requests. These services may, for instance, observe a sudden rush of calls from an airport suffering take-off delays and change the sequence of options to prioritize rescheduling flights. Or they may see that calls from a particular country or region tend to be... - Source: dev.to / 24 days ago
Amazon's doesn't care about Mturk, they have their own AI that will eventually automate all their work too https://aws.amazon.com/lex/. Source: about 1 year ago
Amazon Lex, AWS's natural language conversational AI service. With Amazon Connect, it seamlessly leverages Amazon Transcribe to understand what is being said (speech-to-text), and Amazon Polly to provide the verbal response (text-to-speech). We aren't really using the Natural Language powers of Lex, but it has other uses for us:. - Source: dev.to / over 1 year ago
AWS has three high-quality tools: Amazon Lex, Amazon Rekognition, and Amazon SageMaker. - Source: dev.to / over 1 year ago
Introducing DTMF slot settings within Amazon Lex.Amazon Lex is a service for building conversational interfaces into any application using voice and text. With Amazon Lex, you can quickly and easily build conversational bots ("chatbots"), virtual agents, and interactive voice response (IVR) systems. Amazon Lex is excited to launch DTMF-only slot settings and configurable session attributes within the Lex console. - Source: dev.to / over 1 year ago
Dialogflow - Conversational UX Platform. (ex API.ai)
Hugging Face - The Tamagotchi powered by Artificial Intelligence 🤗
IBM Watson Assistant - Watson Assistant is an AI assistant for business.
Wit.ai - Easily create text or voice based bots that humans can chat with on their preferred messaging...
Microsoft Bot Framework - Framework to build and connect intelligent bots.
Tars - TARS enables users to create chatbots that replaces regular old webforms.
