---
title: "Building a reference lexicon for countability in English — Kiss 2014"
description: "The paper builds a lexicon that gives the count-mass class of about 14,000 English nouns, one entry per noun-sense… 22 references, cited by 1 paper here."
authors: ["Tibor Kiss", "Francis Jeffry Pelletier", "Tobias Stadtfeld"]
year: 2014
venue: "Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)"
source: "https://aclanthology.org/L14-1312/"
doi: "10.63317/2uw4887z6mj3"
licence: "CC BY-NC 4.0 (ELRA, LREC proceedings)"
licence_url: "https://creativecommons.org/licenses/by-nc/4.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/kiss-2014-building-reference-lexicon-countability-english/"
---
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# Building a reference lexicon for countability in English

**Authors:** [Tibor Kiss](https://md.research.elamur.ai/free/en/authors/tibor-kiss/), Francis Jeffry Pelletier and Tobias Stadtfeld · **Year:** 2014 · **Venue:** Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014) **Link:** [aclanthology.org/L14-1312](https://aclanthology.org/L14-1312/) · **Licence:** [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/) (LREC proceedings) — summary only

[**10** citations](https://openalex.org/works?filter=cites:W2250951601) OpenAlex, 2026-10-14 · **1** citations in our library of the 140,884 papers whose bibliographies we read · [Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)](https://aclanthology.org/volumes/L14-1/) · [licence](https://creativecommons.org/licenses/by-nc/4.0/)

- [Publisher's page](https://aclanthology.org/L14-1312/)
- [PDF](https://aclanthology.org/L14-1312.pdf)
- [DOI 10.63317/2uw4887z6mj3](https://doi.org/10.63317/2uw4887z6mj3)
- [OpenAlex](https://openalex.org/W2250951601)

**Authors (3)**

1. [Tibor Kiss](https://openalex.org/A5080795652) [ORCID](https://orcid.org/0000-0003-1857-3686) · [Semantic Scholar](https://www.semanticscholar.org/author/144372201) · h 12 · 1,139 citations · 64 works
2. [Francis Jeffry Pelletier](https://openalex.org/A5006576404) [ORCID](https://orcid.org/0000-0002-3399-2718) · [Semantic Scholar](https://www.semanticscholar.org/author/1760616) · h 31 · 4,625 citations · 186 works
3. [Tobias Stadtfeld](https://openalex.org/A5082349968) [Semantic Scholar](https://www.semanticscholar.org/author/2669493) · h 5 · 50 citations · 13 works

Citations and author metrics: OpenAlex, 2026-10-14; authors with the same name are not always told apart.

## What it is about

The paper builds a lexicon that gives the count-mass class of about 14,000 English nouns, one entry per noun-sense pair. Each noun-sense pair is answered in a questionnaire of six questions about its use, and the answers assign a fine-grained class between count and mass. The starting nouns and senses come from the Open ANC and WordNet. The reference lexicon holds 13,804 noun-sense pairs: 1,000 were annotated by four speakers, and the rest by two annotators each. Krippendorff's alpha is between 0.694 and 0.755. The lexicon shows a middle group of dual-life nouns, which act as mass and as count, and object-mass senses are very rare (0.58% of the total).

## For Mova

- I1. Add a countability column (count, mass, dual) to the rows of `data/lemmas.tsv` and use it in `en/src/expert.rs` to check the determiner: "a car" and "much water" should agree with the class. Measure: rule accuracy on EWT test determiner-noun pairs, with and without the column.
- I2. Run the six questions as deterministic probes over the Mova raw collection, counting "a N", "much N" and plural forms, and report the probe result next to the class. Measure: agreement with the paper's class on a held-out sample. The gold data are NC, so this is a test only.
- I3. Flag dual-life nouns in `prag`/`world` as an ambiguity, so that the reading is given with its reason and not decided silently. Measure: the share of EWT sentences where the flag changes a determiner check.

The chapters are [languages/en/10-word-classes.md](https://mova.elamur.ai/free/en/docs/languages/en/10-word-classes/) and [languages/en/11-nouns.md](https://mova.elamur.ai/free/en/docs/languages/en/11-nouns/). The code is `en/src/lexgen.rs` and `data/lemmas.tsv` (the new column), and `en/src/expert.rs` (the check). The lexicon is LREC NC: its entries are a test resource only, and the countability column must be made from Mova's own probes.

## Institutions

[🎓**Simon Fraser University** Burnaby · Canada 8 works · 4,087 citations](https://md.research.elamur.ai/free/en/universities/simon-fraser-university/) · [🎓**Ruhr University Bochum** Bochum · Germany 19 works · 1,147 citations](https://md.research.elamur.ai/free/en/universities/ruhr-university-bochum/)

## Cite

Cite as Tibor Kiss, Francis Jeffry Pelletier and Tobias Stadtfeld. 2014. Building a reference lexicon for countability in English. Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14).

The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.63317/2uw4887z6mj3](https://doi.org/10.63317/2uw4887z6mj3)

```bibtex
@inproceedings{kiss2014building,
  title = {{Building a reference lexicon for countability in English}},
  author = {Tibor Kiss, Francis Jeffry Pelletier and Tobias Stadtfeld},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  doi = {10.63317/2uw4887z6mj3},
  url = {https://doi.org/10.63317/2uw4887z6mj3}
}
```

- [← previous Diachronic proximity vs. data sparsity in cross-lingual parser projection. A case study on Germanic](https://md.research.elamur.ai/free/en/papers/sukhareva-2014-diachronic-proximity-vs-data-sparsity/)
- [next → WordNet—Wikipedia—Wiktionary: Construction of a Three-way Alignment](https://md.research.elamur.ai/free/en/papers/miller-2014-wordnet-wikipedia-wiktionary/)
- [↑ back to papers of 2014](https://md.research.elamur.ai/free/en/papers/2014/page/2/)

## References

22 references, 1 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet.

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