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# "Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue

**Authors:** Andreas Weise; Vered Silber-Varod; Anat Lerner; [Julia Hirschberg](https://md.mova.elamur.ai/free/en/docs/papers/authors/julia-hirschberg/); Rivka Levitan · **Year:** 2021 · **Venue:** Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume **Link:** [aclanthology.org/2021.eacl-main.23](https://aclanthology.org/2021.eacl-main.23/) · library `eacl-2021-weise-talk-me-left-right-angles` · **Licence:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)

[**3** citations](https://openalex.org/works?filter=cites:W3152981595) openalex · 2026-10-18[**1** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/eacl-2021-weise-talk-me-left-right-angles/) of the 140673 papers whose bibliographies we read[Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume](https://aclanthology.org/volumes/2021.eacl-main/)[licence](https://creativecommons.org/licenses/by/4.0/)

- [Publisher's page](https://aclanthology.org/2021.eacl-main.23/)
- [PDF](https://aclanthology.org/2021.eacl-main.23.pdf)
- [DOI 10.18653/v1/2021.eacl-main.23](https://doi.org/10.18653/v1/2021.eacl-main.23)
- [OpenAlex](https://openalex.org/W3152981595)

**Authors (5)**

1. Andreas Weise
2. Vered Silber-Varod
3. [Anat Lerner](https://openalex.org/A5039354204) [ORCID](https://orcid.org/0000-0002-9293-3195) · h 7 · 258 citations · 36 works
4. [Julia Hirschberg](https://openalex.org/A5045037642) [ORCID](https://orcid.org/0000-0003-0689-7616) · h 68 · 21992 citations · 496 works
5. [Rivka Levitan](https://openalex.org/A5047073879) h 23 · 1442 citations · 56 works

Citations and author metrics from openalex (2026-10-18); authors with the same name are not always told apart.

## What it is about

The question is whether Hebrew speakers adapt their word choice to each other in a Map Task, as English speakers do. The corpus is the Open University of Israel Map Task Corpus (MaTaCOp): 16 dyads, about six hours, with words lemmatized by a hand-made list of forms. Two existing measures are used: a word-fraction similarity over a fixed word list, and a negated perplexity of one speaker's trigram model on the partner's words. Each similarity is compared with non-partners of the same gender, and the multiple tests are corrected with Benjamini–Hochberg within families. Speakers entrain on the 25 most frequent lemmas, on directional terms (t(15) = 6.64, p = 7.9e-06) and on overall language; they do not entrain on hedge words or imperative forms, which differs from English, and followers entrain more than leaders.

## Ideas

- I1. Group related measurements into families and correct within each family (Benjamini–Hochberg), then report the corrected and raw results side by side. This is a rule for any Mova comparison that runs several tests at once, and it belongs in the measurement notes in `docs/`.
- I2. A closed list of direction words (four compass terms and six relative terms, such as "left" and "right") with every grammatical form counted per lemma. The paper's hand-made form-to-lemma list is the same mechanism as a lexicon table, and it gives a small Modern Hebrew lexical test.
- I3. An imperative class that includes the second-person prefix forms (te-lex) and leaves out the reduced future, which the paper excludes as ambiguous (citing Bat-El 2002). The Modern Hebrew verb tables should keep the reduced future in a separate class, not in the imperatives.

## For Mova

I1 is a measurement rule for `docs/` and the test harness. I2 goes into [8. Lexicon and register](https://md.mova.elamur.ai/free/en/docs/languages/he/08-lexicon-register/). I3 goes into [05b. Verb paradigms: the strong verb in seven binyanim and the weak roots](https://md.mova.elamur.ai/free/en/docs/languages/he/05b-verb-paradigms/). The dialogue setting itself is outside Mova's current text scope, so no entrainment measure is built into the parser.

## Cite

The paper itself, not this card. BibTeX from the library's record of the work. [DOI 10.18653/v1/2021.eacl-main.23](https://doi.org/10.18653/v1/2021.eacl-main.23)

```
@inproceedings{weise2021talk,
  title = {{"Talk to me with left, right, and angles": Lexical entrainment in spoken Hebrew dialogue}},
  author = {Weise, Andreas and Silber-Varod, Vered and Lerner, Anat and Hirschberg, Julia and Levitan, Rivka},
  booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume},
  year = {2021},
  doi = {10.18653/v1/2021.eacl-main.23},
  url = {https://doi.org/10.18653/v1/2021.eacl-main.23}
}
```

- [← previous Multiword expressions as discourse markers in Hebrew and Lithuanian](https://md.mova.elamur.ai/free/en/docs/papers/disc-2021-oleskeviciene-multiword-expressions-as-discourse-markers/)
- [next → A Truly Joint Neural Architecture for Segmentation and Parsing](https://md.mova.elamur.ai/free/en/docs/papers/eacl-2024-levi-truly-joint-neural-architecture-segmentation/)
- [↑ back to Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/he/)

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