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Pipeline for the ACQDIV database

Project description


DOI PyPI version


This repository contains the code and configuration files for transforming the child language acquisition corpora into the ACQDIV database.


If you use the database in your reasearch, please cite as follows:

Jancso, Anna, Steven Moran, and Sabine Stoll.
"The ACQDIV Corpus Database and Aggregation Pipeline."
Proceedings of The 12th Language Resources and Evaluation Conference. 2020.

Link to Paper


Download the ACQDIV database (only public corpora):


To request access to the full database including the private corpora (for research purposes only!), please refer to Sabine Stoll. In case of technical questions, please open an issue on this repository.


Our full database consists of the following corpora:

Corpus ISO Public # Words
Chintang Language Corpus ctn no 987'673
Cree Child Language Acquisition Study (CCLAS) Corpus cre yes 44'751
English Manchester Corpus eng yes 2'016'043
MPI-EVA Jakarta Child Language Database ind yes 2'489'329
Allen Inuktitut Child Language Corpus ike no 71'191
MiiPro Japanese Corpus jpn yes 1'011'670
Miyata Japanese Corpus jpn yes 373'021
Ku Waru Child Language Socialization Study mux yes 65'723
Sarvasy Nungon Corpus yuw yes 19'659
Qaqet Child Language Documentation byx no 56'239
Stoll Russian Corpus rus no 2'029'704
Demuth Sesotho Corpus sot yes 177'963
Tuatschin Corpus roh no 118'310
Koç University Longitudinal Language Development Database tur no 1'120'077
Pfeiler Yucatec Child Language Corpus yua no 262'382
Total 10'843'735

Running the pipeline

For Windows users, follow the installation/run instructions here:

For Mac and Linux user, continue here to run the pipeline yourself:

Install the package

Create a virtual environment [optional]:

python3 -m venv venv
source venv/bin/activate

You can install the package from PyPI or directly from source:


pip install acqdiv

From source

# Clone Repository
git clone
cd acqdiv

# Install package (for users!)
pip install .

# Developer mode (for developers!)
pip install -r requirements.txt

Get the corpora

Run the following script to download the public corpora:

python util/

The corpora are in the folder corpora.

For the private corpora, either place the session files in corpora/<corpus_name>/{cha|toolbox}/ and the metadata files (only Toolbox corpora) in corpora/<corpus_name>/imdi/ or edit the paths to those files in the config.ini (also see below).

Generate the database

Get the configuration file src/acqdiv/config.ini and specify the absolute paths (without trailing slashes) for the corpora directory (corpora_dir) and the directory where the database should be written to (db_dir):

# directory containing corpora
corpora_dir = /absolute/path/to/corpora/dir
# directory where the database is written to
db_dir = /absolute/path/to/database/dir

Optionally adapt the paths for the individual corpora (sessions and metadata_dir).

Run the pipeline specifying the absolute path to the configuration file:
acqdiv load -c /absolute/path/to/config.ini

Generate the R object

Install dependencies

$ R
> install.packages("RSQLite")
> install.packages("rlang")

Navigate to src/acqdiv/database and run:

Rscript sqlite_to_r.R /absolute/path/to/sqlite-DB

Run tests

Run the unittests:
pytest tests/unittests

Run the integrity tests on the database:
pytest tests/systemtests

Project details

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Source Distribution

acqdiv-1.1.0.tar.gz (148.8 kB view hashes)

Uploaded source

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