[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/lingbulk-2014-kiss-building-reference-lexicon-countability-english/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [English](https://md.mova.elamur.ai/free/en/docs/papers/en/) / Building a reference lexicon for countability in English # Building a reference lexicon for countability in English **Authors:** [Tibor Kiss](https://md.mova.elamur.ai/free/en/docs/papers/authors/tibor-kiss/), Francis Jeffry Pelletier, 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 [**1** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/lingbulk-2014-kiss-building-reference-lexicon-countability-english/) of the 140673 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) **Authors (3)** 1. Tibor Kiss 2. Francis Jeffry Pelletier 3. Tobias Stadtfeld Citations and author metrics from OpenAlex (); 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). ## Ideas - 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. ## For Mova The chapters are [10. Word classes](https://md.mova.elamur.ai/free/en/docs/languages/en/10-word-classes/) and [11. Nouns](https://md.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. ## Cite The paper itself, not this card. BibTeX from the library's record of the work. ``` @inproceedings{kiss2014building, title = {{Building a reference lexicon for countability in English}}, author = {Kiss, Tibor and Pelletier, Francis Jeffry and Stadtfeld, Tobias}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, url = {https://aclanthology.org/L14-1312/} } ``` - [← previous A Non-Monotonic Arc-Eager Transition System for Dependency Parsing](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2013-honnibal-non-monotonic-arc-eager-transition/) - [next → Comprehensive Annotation of Multiword Expressions in a Social Web Corpus](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2014-schneider-comprehensive-annotation-multiword-expressions-social/) - [↑ back to English](https://md.mova.elamur.ai/free/en/docs/papers/en/) ## 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. 1. 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