Doragd / leyzer

Multilingual text corpus designed to study multilingual and cross-lingual natural language understanding (NLU) models and the strategies of localization of virtual assistants

Leyzer: A Dataset for Multilingual Virtual Assistants

Leyzer is a multilingual text corpus designed to study multilingual and cross-lingual natural language understanding (NLU) models and the strategies of localization of virtual assistants. It consists of 20 domains across three languages: English, Spanish and Polish, with 186 intents and a wide range of samples, ranging from 1 to 672 sentences per intent. For more stats please refer to wiki.

Named after Ludwik Lejzer Zamenhof, the inventor of the international language Esperanto, the most widely used constructed international auxiliary language in the world.

Patterns

Patterns are sentences without slot values.

Pattern generation

We use our fork of JSGFTools to expand grammars to patterns:

git clone https://github.com/cartesinus/JSGFTools
cd JSGFTools
#pip install pyparsing
python DeterministicGenerator.py ../leyzer/grammars/${lang}/${domain}.gram > ../leyzer/patterns/${lang}/${domain}.tsv

Corpus

Different versions of our corpus can be found in corpora/. To convert patterns to corpus:

./scripts/expand-slots.sh ${lang} ./patterns/en-US/${domain}.tsv ./corpora/0.1.0/${domain}.tsv ${add_bio} ${repeat}

where:

• ${add_bio} is either true or false. When set to true generated corpus will have BIO tags.
• ${repeat} is either true or false. When set to true slot values, taken from slot/${lang}, will be repeated once if there is more sentences that values in slot file.

Because some slots (for example EMAIL.MESSAGE) have many values we duplicate some patterns many times (10x or even 50x) before we use expand-slots.sh.

Experiments

Experiments described in our paper can be replicated with scripts provided in experiments/.

Citation

If you use this corpus, please cite:

@inproceedings{sowanski2020leyzer,
  title={Leyzer: A Dataset for Multilingual Virtual Assistants},
  author={Sowa{\'n}ski, Marcin and Janicki, Artur},
  booktitle={International Conference on Text, Speech, and Dialogue},
  pages={477--486},
  year={2020},
  organization={Springer}
}