---
title: "A Morphologically Annotated Hebrew CHILDES Corpus — Albert 2012"
description: "The paper describes the Hebrew part of the CHILDES child-language database: about 418,000 word tokens… 6 references, cited by 1 paper here."
authors: ["Aviad Albert", "Brian MacWhinney", "Bracha Nir", "Shuly Wintner"]
year: 2012
venue: "Proceedings of the Workshop on Computational Models of Language Acquisition and Loss"
source: "https://aclanthology.org/W12-0904/"
licence: "CC BY-NC-SA 3.0 (ACL Anthology, before 2016)"
licence_url: "https://creativecommons.org/licenses/by-nc-sa/3.0/"
summary_licence: "Elamur Cosmic License"
canonical: "https://research.elamur.ai/free/en/papers/albert-2012-morphologically-annotated-hebrew-childes-corpus/"
---
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# A Morphologically Annotated Hebrew CHILDES Corpus

**Authors:** Aviad Albert; [Brian MacWhinney](https://md.research.elamur.ai/free/en/authors/brian-macwhinney/); [Bracha Nir](https://md.research.elamur.ai/free/en/authors/bracha-nir/); [Shuly Wintner](https://md.research.elamur.ai/free/en/authors/shuly-wintner/) · **Year:** 2012 · **Venue:** Proceedings of the Workshop on Computational Models of Language Acquisition and Loss **Link:** [aclanthology.org/W12-0904](https://aclanthology.org/W12-0904/) · library `aclbulk-2012-albert-morphologically-annotated-hebrew-childes-corpus` · **Licence:** [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/) (ACL Anthology, before 2016) — summary only

[**3** citations](https://openalex.org/works?filter=cites:W96807091) OpenAlex, 2026-10-14 · [**1** citations in our library](https://md.research.elamur.ai/free/en/papers/albert-2012-morphologically-annotated-hebrew-childes-corpus/cited-by/) of the 140,884 papers whose bibliographies we read · [Proceedings of the Workshop on Computational Models of Language Acquisition and Loss](https://aclanthology.org/volumes/W12-09/) · [licence](https://creativecommons.org/licenses/by-nc-sa/3.0/)

- [Publisher's page](https://aclanthology.org/W12-0904/)
- [PDF](https://aclanthology.org/W12-0904.pdf)
- [OpenAlex](https://openalex.org/W96807091)

**Authors (4)**

1. [Aviad Albert](https://openalex.org/A5085702869) [ORCID](https://orcid.org/0000-0002-2428-5587) · [Semantic Scholar](https://www.semanticscholar.org/author/38473698) · h 6 · 134 citations · 53 works
2. [Brian MacWhinney](https://openalex.org/A5043710796) [ORCID](https://orcid.org/0000-0002-4988-1342) · [Semantic Scholar](https://www.semanticscholar.org/author/2414040) · h 83 · 33,802 citations · 456 works
3. [Bracha Nir](https://openalex.org/A5065495848) [ORCID](https://orcid.org/0000-0002-8358-5483) · [Semantic Scholar](https://www.semanticscholar.org/author/2434279) · h 15 · 988 citations · 68 works
4. [Shuly Wintner](https://openalex.org/A5032082399) [ORCID](https://orcid.org/0000-0002-7154-4764) · [Semantic Scholar](https://www.semanticscholar.org/author/2524073) · h 27 · 2,368 citations · 164 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 describes the Hebrew part of the CHILDES child-language database: about 418,000 word tokens (about 13,800 types) of child-adult speech from two longitudinal corpora. The transcription is a Latin-based phonemic one that keeps the five vowels of Modern Hebrew, primary stress, and the prefix particles as separate morphemes, so that it has fewer homographs than the standard script. A morphological grammar in the CLAN MOR format has a lexicon of about 5,800 entries in 16 part-of-speech classes, over 1,000 allomorph rules and over 100 affixation rules. On a new 10,070-token corpus, 1.75 percent of tokens (5.3 percent of types) get no analysis, and an independent check against the MILA analyser disagrees on 11 percent of forms. Context disambiguation was trained on 18 of 304 hand-tagged files, with 80 percent accuracy on ambiguous tokens.

## For Mova

- I1. Vowel-marked forms reduce ambiguity. Test it on `tools/hbo` or on `he` input: count analyses per token on the bare text and on a fully vowelled form, and report the drop. This measures how much an unpointed reading costs before any model is built.
- I2. Report coverage in two numbers: tokens without an analysis and types without an analysis. Types show the lexicon gaps more clearly (5.3 percent) than tokens (1.75 percent). A coverage gate on a held-out `treebanks/he/` slice would show where the lexicon of `he` is thin.
- I3. Train a small tag disambiguator from a few fully checked files and report accuracy on ambiguous tokens only. The paper's 80 percent on ambiguous tokens, from 18 files, is a baseline for a Modern Hebrew disambiguator in [languages/he/12-mova.md](https://mova.elamur.ai/free/en/docs/languages/he/12-mova/).

I1 is a note for [languages/he/02-script-and-spelling.md](https://mova.elamur.ai/free/en/docs/languages/he/02-script-and-spelling/) and a test for `tools/hbo` in unpointed mode. I2 is a gate for `treebanks/he/` and the `he` lexicon. I3 belongs in [languages/he/11-ud-analysis.md](https://mova.elamur.ai/free/en/docs/languages/he/11-ud-analysis/) and the plan in [languages/he/12-mova.md](https://mova.elamur.ai/free/en/docs/languages/he/12-mova/). The corpus is child speech and its licence is non-commercial, so only the measures and methods are used, not the data.

## Institutions

[🎓**Carnegie Mellon University** Pittsburgh · United States 278 works · 138,810 citations](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**Tel Aviv University** Tel Aviv · Israel 54 works · 7,966 citations](https://md.research.elamur.ai/free/en/universities/tel-aviv-university/) · [🎓**University of Haifa** Haifa · Israel 21 works · 427 citations](https://md.research.elamur.ai/free/en/universities/university-of-haifa/)

Topics[Morphology](https://md.research.elamur.ai/free/en/topics/morphology/) · [Hebrew & Aramaic](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/)

## Cite

Cite as Aviad Albert, Brian MacWhinney, Bracha Nir and Shuly Wintner. 2012. A Morphologically Annotated Hebrew CHILDES Corpus. Proceedings of the Workshop on Computational Models of Language Acquisition and Loss.

The paper itself, not this card. BibTeX from the library's record of the work.

```bibtex
@inproceedings{albert2012morphologically,
  title = {{A Morphologically Annotated Hebrew CHILDES Corpus}},
  author = {Aviad Albert, Brian MacWhinney, Bracha Nir and Shuly Wintner},
  booktitle = {Proceedings of the Workshop on Computational Models of Language Acquisition and Loss},
  year = {2012},
  url = {https://aclanthology.org/W12-0904/}
}
```

- [← previous First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis](https://md.research.elamur.ai/free/en/papers/felt-2012-first-results-study-evaluating-pre/)
- [next → Annotation as a New Paradigm in Research Archiving](https://md.research.elamur.ai/free/en/papers/roorda-2014-annotation-new-paradigm-research-archiving/)
- [↑ back to papers of 2012](https://md.research.elamur.ai/free/en/papers/2012/page/2/)

## References

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

1. Ruth A. Berman and Jürgen Weissenborn. Acquisition of word order: A crosslinguistic study. Final Report. German-Israel Foundation for Research and Development (GIF), 1991. [find](https://scholar.google.com/scholar?q=Ruth+A%2E+Berman+and+Ju%CC%88rgen+Weissenborn%2E+Acquisition+of+word+order%3A+A+crosslinguistic+study%2E+Final+Report%2E+German%2DIsrael+Foundation+for+Research+and+Development+%28GIF%29%2C+1991%2E)
2. Alon Itai and Shuly Wintner. Language resources for Hebrew. Language Resources and Evaluation, 42 (1):75–98, March 2008. [find](https://scholar.google.com/scholar?q=Alon+Itai+and+Shuly+Wintner%2E+Language+resources+for+Hebrew%2E+Language+Resources+and+Evaluation%2C+42+%281%29%3A75%E2%80%9398%2C+March+2008%2E)
3. Brian MacWhinney. The CHILDES system. American Journal of Speech Language Pathology, 5:5–14, 1996. [find](https://scholar.google.com/scholar?q=Brian+MacWhinney%2E+The+CHILDES+system%2E+American+Journal+of+Speech+Language+Pathology%2C+5%3A5%E2%80%9314%2C+1996%2E)
4. Brian MacWhinney. The CHILDES Project: Tools for Analyzing Talk. Lawrence Erlbaum Associates, Mahwah, NJ, third edition, 2000. [find](https://scholar.google.com/scholar?q=Brian+MacWhinney%2E+The+CHILDES+Project%3A+Tools+for+Analyzing+Talk%2E+Lawrence+Erlbaum+Associates%2C+Mahwah%2C+NJ%2C+third+edition%2C+2000%2E)
5. Bracha Nir, Brian MacWhinney, and Shuly Wintner. A morphologically-analyzed CHILDES corpus of Hebrew. In Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC’10), pages 1487–1490, Valletta, Malta, May 2010. European Language Resources Association (ELRA). ISBN 2-9517408-6-7. [our card](https://md.research.elamur.ai/free/en/papers/nir-2010-morphologically-analyzed-childes-corpus-hebrew/)
6. Kenji Sagae, Eric Davis, Alon Lavie, Brian MacWhinney, and Shuly Wintner. Morphosyntactic annotation of CHILDES transcripts. Journal of Child Language, 37(3):705–729, 2010. doi: 10.1017/S0305000909990407. URL http://journals.cambridge.org/article_S0305000909990407. [↗](https://doi.org/10.1017/s0305000909990407)