microsoft/Recognizers-Text: Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at: https://www.nuget.org/profiles/Recognizers.Text, https://www.npmjs.com/~recognizers.text

Multilingual language models

This repository provides pre-trained models and code for understanding and generation tasks in multiple languages.

Entity Recognition Tool

A PyTorch implementation of named entity recognition using the Google AI's pre-trained BERT model for Chinese text data.

Named entity recognizer

A Ruby implementation of named entity recognition using Stanford NER

Named Entity Recognition Tool

A system for efficiently training and deploying neural networks for named entity recognition tasks with context-dependent representations.

Text analyzer

A tool that provides fast and efficient text analysis and visualization capabilities

Text extractor

An open-source wrapper around LLMs to extract structured data from text

Named entity recognizer

An interface to the Stanford Named Entity Recognizer from Pharo Smalltalk

NER tool

Named-entity recognition using neural networks.

NER for Persian text

A Persian named entity recognition system with a large, labeled dataset.

Number converter

Converts numbers to natural language expressions

Entity tagger

This project builds and deploys a named entity recognition model to annotate text with tags representing entity types.

Time converter

Library providing abstractions to convert human-like times into milliseconds.

NER model

Named Entity Recognition model using LSTM and CRF with character embeddings

Time converter library

Converts between milliseconds and human-readable time units, used in Elixir applications.

NER tool

A plugin for scicloj.ml providing Named Entity Recognition (NER) functionality using Stanford's CRF-NER model.

Similar projects