Stanford Temporal Tagger

What it is

SUTime is a library that recognizes and normalizes time expressions within text, making it easier to process temporal data. It's particularly useful for applications requiring precise time extraction from unstructured text.

SUTime stands out as a specialized tool for time expression recognition, offering robust integration within the Stanford CoreNLP ecosystem.

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

   Limited language support beyond English and German

   The library primarily supports English and German, which restricts its utility for applications requiring time extraction in other languages.

2. 02

   Tightly coupled with Stanford CoreNLP

   SUTime is designed to work within the Stanford CoreNLP framework, making it less flexible for integration into projects that do not use this framework.

3. 03

   Performance can be slow for large datasets

   Processing large volumes of text with SUTime can be computationally expensive and time-consuming due to its reliance on the CoreNLP pipeline.

4. 04

   Documentation is sparse and not user-friendly

   The documentation for SUTime lacks detailed examples and explanations, making it difficult for new users to understand how to effectively use the library.

What it does well

• Recognizes and normalizes time expressions in text.

• Supports multiple languages including English and German.

• Integrates with Stanford CoreNLP for comprehensive NLP tasks.

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.