Polyglot

What it is

Polyglot is a multilingual natural language processing library that supports various languages and provides tools for common NLP tasks such as tokenization, part-of-speech tagging, named entity recognition, and sentiment analysis.

Polyglot stands out by offering a wide range of language support within a single library, making it ideal for projects dealing with multilingual text data without the need to integrate multiple specialized tools.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Performance issues with large datasets

   Polyglot can be slow when processing large volumes of text data, which may lead to increased computational costs and longer processing times in production environments.

2. 02

   Limited support for some languages

   While Polyglot supports many languages, the quality and completeness of NLP tools vary significantly between languages, with some less common languages having limited functionality or accuracy.

3. 03

   Frequent breaking changes between versions

   Upgrading to newer versions often requires significant code refactoring due to API changes and deprecated features, leading to maintenance overhead.

What it does well

• Supports multiple languages for NLP tasks

• Includes tokenization, part-of-speech tagging, and named entity recognition

• Provides sentiment analysis capabilities

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.