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Data and software for building the ACL Anthology.

Home Page: https://www.aclweb.org/anthology/

License: Apache License 2.0

CSS 2.33% Shell 1.36% HTML 17.32% Perl 1.47% Python 76.02% Makefile 1.50%

acl-anthology's Introduction

ACL Anthology

These are basic instructions on generating the ACL Anthology website as seen on https://aclweb.org/anthology/. The offical home of this repository is https://github.com/acl-org/acl-anthology.

Generating the Anthology

Prerequisites

To build the Anthology website, you will need:

  • Python 3.7 or higher
  • Hugo 0.54 or higher (can be downloaded directly from their repo; the extended version is required!)
  • bibutils for creating non-BibTeX citation formats (not strictly required to build the website, but without them you need to invoke the build steps manually as laid out in the detailed README)
  • optional: If you install libyaml-dev before running make the first time, the libyaml C library will be used instead of a python implementation, speeding up the build.

Cloning

Clone the Anthology repo to your local machine:

$ git clone https://github.com/acl-org/acl-anthology

Generating

Provided you have correctly installed all requirements, building the website should be as simple running make from the directory to which you cloned the repo.

The fully generated website will be in build/anthology afterwards. If any errors occur during this step, you can consult the detailed README for more information on the individual steps performed to build the site. You can see the resulting website by launching a local webserver with make serve, which will serve it at http://localhost:8000.

Note that building the website is quite a resource-intensive process; particularly the last step, invoking Hugo, uses about 18~GB of system memory. Building the anthology takes about 10 minutes on a laptop with an SSD.

(Note: This does not mean you need this amount of RAM in your system; in fact, the website builds fine on a laptop with 8 GB of RAM. The system might temporarily slow down due to swapping, however. The figure of approx. 18 GB is the maximum RAM usage reported when running hugo --minify --stepAnalysis.)

The anthology can be viewed locally by running hugo server in the hugo/ directory. Note that it rebuilds the site and therefore takes about a minute to start.

Contributing

If you'd like to contribute to the ACL Anthology, please take a look at:

History

This repo was originally wing-nus/acl and has been transferred over to acl-org as of 5 June 2017.

License

The code for building the ACL Anthology is distributed under the Apache License, v2.0.

acl-anthology's People

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