Go API client for cloudmersive solutions. Currently stands only for NLP(v2) API.
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Updated
Mar 12, 2020 - Go
Go API client for cloudmersive solutions. Currently stands only for NLP(v2) API.
Amazon Japan Help Desk on Twitter
Nlp tools in Java, Python. With examples and installation requirements. Examples focused in spanish language
LinTO's NLP core services
A robust and easy-to-use toolkit for POS (Part of Speech; NLP) tagging. It's approach is to automatically construct tagging rules in the form of a binary tree. Supports pre-trained UPOS, XPOS tagging models for about 80 languages.
Container-first, JSON-configurable, NLP REST service based on Flair
Speech recognition and conversion into speech of any other language
NLP API
A simple NLP rest microservice made with python and dockerized @ gigadr3w/nlp-rest
This project uses a multilingual embedding model to align sentences in one language ( preferably a low-resource language) to their potential paired translation in English. The idea is that if we can crawl documents in both languages online (eg from news sites), we can easily pair up sentences that are translations of each other.
Unofficial minified fastetext API. Use it to run NLP DL models that require word embeddings on the client-side.
This project is a web application that converts text input into speech, providing a convenient and accessible way to transform written content into spoken words. Users can enter text in the provided textarea, click the "Predict" button, and instantly hear the generated speech. The app utilizes Flask for the backend.
The NLP Analysis Toolkit, a Python GUI application that harnesses the power of Natural Language Processing (NLP) to provide insights into text data. This comprehensive tool integrates three key features: Sentiment Analysis, Named Entity Recognition (NER), and Emotion Detection.
✍ 🗣 A Text-To-Conversation natural language processing toolkit [WIP].
Full code to create app that summarize the news and get the topic using models that are easy to train and deploy (Use the API)
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