https://github.com/whitejaeger/nlp-metrics

https://github.com/whitejaeger/nlp-metrics

flask natural-language-processing python3

Last synced: 7 months ago
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• Host: GitHub
• URL: https://github.com/whitejaeger/nlp-metrics
• Owner: WhiteJaeger
• Archived: true
• Created: 2020-02-20T19:20:50.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2022-03-21T22:22:47.000Z (over 4 years ago)
• Last Synced: 2024-09-30T16:55:56.052Z (almost 2 years ago)
• Topics: flask, natural-language-processing, python3
• Language: Python
• Homepage: http://nlp-metrics.herokuapp.com/
• Size: 17.2 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 14
• Metadata Files:
  • Readme: README.md

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README

          
# NLP Metrics

## N-gram based and Syntactic

This repository contains a Flask web application which aims to help with measuring the performance of the machine &

human translation. This app could be accessed either remotely - it is deployed at http://nlp-metrics.herokuapp.com/ - or

locally - by following the steps below.

## Running the app locally

* Prerequisites:

    * Python version >= 3.7.

    * It is strongly advised to create a [virtual environment](https://docs.python.org/3/library/venv.html) for the app.

1. Install dependencies by running the following command:

    ```bash

    pip install -r requirements.txt

    ```

2. Download the following corpora: `stopwords punkt averaged_perceptron_tagger wordnet`

   with NLTK downloader:

    ```bash

    python -m nltk.downloader stopwords punkt averaged_perceptron_tagger wordnet

    ```

3. Run the application:

    1. In production mode: `python app.py`

    2. In development mode:

        1. Set env variables: `set or export FLASK_APP=app.py`

        2. Run the app: `flask run`

4. Head to the `localhost:5000` in browser.