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Languagecrunch

Languagecrunch is a Dockerized NLP server that exposes HTTP endpoints for sentence parsing, sentiment analysis, entity and relation extraction, sentence-type detection, coreference resolution, and word lookup.

Independent OpenViST project profile, based on linked sources.

Languagecrunch — OpenViST project profile in AI Developer Tools & SDKs.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you want to run the documented NLP functions as a Dockerized service and make HTTP requests to them from your application.

Who it is for

  • Developers integrating text analysis into server-side applications.
  • Teams that want to run NLP endpoints in a Docker container and call them over HTTP.

Documented uses

  • Parse sentences into structured linguistic information.
  • Analyze sentiment and subjectivity and classify sentence types.
  • Extract named entities and relations from text.
  • Resolve pronouns and other references to nouns.
  • Look up definitions, synonyms, examples, usage frames, and hypernyms for words.
Before you choose

Requirements & limits

  • The quickstart maps the service to port 8080 and demonstrates a request to the parse endpoint.
  • The README identifies spaCy for parsing, WordNet for word lookup, and neuralcoref for coreference resolution.
  • The documented routes include parsing, word lookup, and coreference; model details also describe sentiment, entity extraction, sentence types, and relation extraction.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Start the Dockerized NLP service

Run Languagecrunch locally with its documented HTTP service listening on port 8080.

Before you start

  • Docker

Steps

  1. Pull and run the image with the command below.

    Documented command
    docker run -it -p 8080:8080 artpar/languagecrunch
  2. Send a URL-encoded sentence to http://localhost:8080/nlp/parse?sentence=.

Expected outcome

A local Languagecrunch service is listening on port 8080, and the parse endpoint can be called with a sentence.

Guide limitations

  • The documented quickstart covers running the container and an example parse request; it does not describe production deployment.
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
18 October 2026
Original website title
artpar/languagecrunch · Official homepage title · retained in its source language