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Description

Azure AI Language serves as a comprehensive managed service designed for the creation of natural language processing applications. It enables users to pinpoint important terms and phrases, evaluate sentiment, condense text, and construct interactive conversational interfaces. This service allows you to annotate, develop, assess, and deploy tailored AI models without needing extensive machine-learning knowledge. With ready-to-use entity categories applicable to various industries and text analytics tailored for the healthcare sector, its out-of-the-box functionalities promote rapid initiation while still permitting further customization and enhancement as necessary. To fine-tune your machine learning model for specific scenarios, you can provide several labeled examples. Additionally, custom multilingual models can be trained in a single language and effectively applied across several others. Through Language Studio, you can leverage advanced GPT-powered language models to promptly review and recommend labels for your content. Moreover, it facilitates the extraction, labeling, and redaction of critical information in text across diverse categories, making it a versatile tool for various applications. This combination of features ensures that users can efficiently manage their language processing needs regardless of their technical expertise.

Description

Accelerate your team's NLP data labeling with our AI-powered platform, LightTag, which effectively organizes your workforce, allowing you to concentrate on what truly matters. The platform is designed to function seamlessly, enhancing efficiency through its intuitive interface. Boost Your Productivity with Our Advanced Features: - Convenient Keyboard Shortcuts - Elimination of tokenization assumptions - Comprehensive Unicode Support - Annotations for subwords and phrases - Support for RTL and CJK languages - Annotations for Entities, Classifications, and Relations LightTag's Review Mode and Reporting tools facilitate the creation of flawless datasets while ensuring that your annotators reach their peak performance. The AI within LightTag adeptly learns to provide high-accuracy predictions, automating basic labeling tasks, which enables your team to focus on generating more detailed and superior quality labels. Remarkably, 50% of the annotations generated within LightTag stem from our AI's suggestions, covering any language of your choice! Additionally, you can enhance suggestions by integrating your own models, using regular expressions, and employing dictionaries. Utilize our review functionality to swiftly validate your models and kickstart any project with confidence. This streamlined approach not only saves time but also elevates the overall quality of your data.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Cogito No 
Crestwood Cloud Yes 
Microsoft Azure Yes 

Integrations

Cogito Yes 
Crestwood Cloud No 
Microsoft Azure No 

Pricing Details

$2 per month
Free Trial Yes 
Free Version No 

Pricing Details

$100 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/ai-language/

Vendor Details

Company Name

LightTag

Founded

2018

Country

Germany

Website

www.lighttag.io

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Product Features

Data Labeling

Human-in-the-loop No 
Labeling Automation Yes 
Labeling Quality Yes 
Performance Tracking No 
Polygon, Rectangle, Line, Point No 
SDK No 
Supports Audio Files No 
Task Management No 
Team Collaboration Yes 
Training Data Management No 

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