Citing and contributing back

If you use APLS, please cite it! Studies show that research software is under-cited. Not citing research software makes it hard for creators to gauge how often it’s used, understand how to improve it, or get credit when others use it. (Citing APLS is also part of APLS’s terms of use.)

In addition, if you use APLS in published research, you may be obligated to contribute back to the corpus so future fellow users can benefit. Our goal is to make contributing back as seamless as possible.

On this page
  1. Citing APLS
    1. Citation manager files
    2. Formatted bibliographic entries
  2. Contributing back
    1. What we’re looking for
    2. Why contribute back to APLS?

Citing APLS

Please select the version of APLS you used. If you downloaded any CSV files, the first column should contain the APLS version.

Citation manager files

Citation manager File (click to download)
BibTeX Link
Zotero BibTeX link
EndNote Link

Formatted bibliographic entries

Style Bibliographic entry (click to copy)
Unified stylesheet for linguistics Formatted
APA 7th edition Formatted

Contributing back

APLS is a community effort. If you’ve used APLS in published or ongoing research, you may be obligated to contribute back to the corpus. We’re here to help you contribute back to APLS! Simply fill out the “How did you use APLS?” form, and we’ll contact you with more information about next steps.

What we’re looking for

This covers two main cases:

  • Adding annotations to your own downloaded version of APLS data
    • Note: This doesn’t have to cover the whole corpus, a whole speaker, or even a whole transcript
    • Examples:
      • Coding tokens of a sociolinguistic variable
      • Tagging stretches of interview speech for stances or topics
      • Identifying ideal formant-measurement settings for particular tokens
      • Generating gradient predictions of auto-coded variables
      • Grouping participants into class categories based on education and occupation
  • Correcting issues in current annotations
    • This could cover either human-generated or computer-generated annotations
    • Examples:
      • Identifying transcription errors, or tdentifying correct transcriptions for passages marked [unclear]
      • Correcting morphemic parses or segmental alignments
      • Running part-of-speech tagging through a different POS algorithm of your choice

In addition, we welcome:

  • Any feedback on APLS’s user interface (the corpus itself or this website)
  • Requests for particular features
  • Calling our attention to something that needs troubleshooting

However, you are not obligated to contribute back to the corpus if you use APLS data:

  • To create stimuli for perceptual/experimental research
  • To train some sort of language model
    • Exception: The model results in some annotations of existing APLS data that you can contribute back
  • To inform fieldwork methods in Pittsburgh or other places
  • Completely ‘as is’ without any further annotations or corrections

Why contribute back to APLS?

If you’re in a position to contribute back to APLS, then please note that the terms of use technically obligate you to do so. More importantly, we think it’s the right thing to do, since you can save future researchers the time and effort of reinventing the wheel—it’s why we try to make it as easy as possible for researchers to contribute back. As with other forms of Open Methods, contributing back helps to encourage contributors to adopt reproducible research practices. Finally, if your contribution gets accepted, your name gets added to APLS’s contributors page—a feather in your cap!