Natural language processing

This repository provides all code that is needed to build a container image for natural language processing utilizing spaCy.

Build image

1. Clone this repository and navigate into it:

git clone https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nlp.git && cd nlp

2. Build image:

docker build -t sfb1288inf/nlp:latest .

Alternatively build from the GitLab repository without cloning:

1. Build image:

docker build -t sfb1288inf/nlp:latest https://gitlab.ub.uni-bielefeld.de/sfb1288inf/nlp.git

Download prebuilt image

The GitLab registry provides a prebuilt image. It is automatically created, utilizing the conquaire build servers.

1. Download image:

docker pull gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/nlp:latest

Run

1. Create input and output directories for the NLP software:

mkdir -p /<mydatalocation>/files_for_nlp /<mydatalocation>/files_from_nlp

2. Place your text files inside the /<mydatalocation>/files_for_nlp directory. Files should all contain text of the same language.

3. Start the NLP process.

docker run \
    --rm \
    -it \
    -u $(id -u $USER):$(id -g $USER) \
    -v /<mydatalocation>/files_for_nlp:/input \
    -v /<mydatalocation>/files_from_nlp:/output \
    sfb1288inf/nlp:latest \
        -i /input \
        -l <languagecode> \
        -o /output

The arguments below sfb1288inf/nlp:latest are described in the NLP arguments part.

If you want to use the prebuilt image, replace sfb1288inf/nlp:latest with gitlab.ub.uni-bielefeld.de:4567/sfb1288inf/nlp:latest.

4. Check your results in the /<mydatalocation>/files_from_nlp directory.

NLP arguments

-i path

• Sets the input directory using the specified path.
• required = True

-o path

• Sets the output directory using the specified path.
• required = True

-l languagecode

• Tells spaCy which language will be used.
• options = de (German), el (Greek), en (English), es (Spanish), fr (French), it (Italian), nl (Dutch), pt (Portuguese)
• required = True