[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/aclbulk-2012-strapparava-corpus-based-explorations-affective-load/) [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/) / [Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/he/) / Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English # Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English **Authors:** Carlo Strapparava; Oliviero Stock; Ilai Alon · **Year:** 2012 · **Venue:** Proceedings of COLING 2012: Posters **Link:** [aclanthology.org/C12-2117](https://aclanthology.org/C12-2117/) · library `aclbulk-2012-strapparava-corpus-based-explorations-affective-load` · **Licence:** [CC BY-NC-SA 3.0](https://creativecommons.org/licenses/by-nc-sa/3.0/) — summary only [**1** citations](https://openalex.org/works?filter=cites:W2251733702) openalex-snapshot · 2026-10-14[**1** citations in our library](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2012-strapparava-corpus-based-explorations-affective-load/) of the 140673 papers whose bibliographies we read[Proceedings of COLING 2012: Posters](https://aclanthology.org/volumes/C12-2/)[licence](https://creativecommons.org/licenses/by-nc-sa/3.0/) - [Publisher's page](https://aclanthology.org/C12-2117/) - [PDF](https://aclanthology.org/C12-2117.pdf) - [OpenAlex](https://openalex.org/W2251733702) **Authors (3)** 1. [Carlo Strapparava](https://openalex.org/A5006685038) [ORCID](https://orcid.org/0000-0002-9365-0242) · h 36 · 7899 citations · 218 works 2. [Oliviero Stock](https://openalex.org/A5033236044) [ORCID](https://orcid.org/0000-0001-5021-411X) · h 32 · 3870 citations · 228 works 3. [Ilai Alon](https://openalex.org/A5019167015) [ORCID](https://orcid.org/0000-0002-6252-0859) · h 7 · 192 citations · 46 works Citations and author metrics from openalex-snapshot (2026-10-14); authors with the same name are not always told apart. ## What it is about The authors ask whether words with roughly the same denotation in Arabic, Hebrew and English carry different emotional load, a difference that translation often loses. They use news corpora in the three languages (about 1.5 million Arabic newswire documents from 1995–2007, about 400,000 English Google News documents from 2008–2009, and 11,474 Hebrew newspaper documents from 1990–2002), POS-tag them, and compare terms by similarity of their distributional contexts. The terms (emotion, conflict, conciliation and trust) come from questionnaires given to Arabic and Hebrew speakers, and a human expert supplies the equivalents in the other languages. The output is a similarity profile per term and language. The extracted text of the result table is not reliable enough to quote figures from, so this card gives none. ## Ideas - I1. A seed list of affect terms for Modern Hebrew: the questionnaire-derived emotion, conflict and trust words, with their English equivalents, as a labelled list the pragmatic layer can use to flag a word as affect-laden or conflict-laden instead of guessing from the dictionary entry. - I2. A divergence check for translation pairs: for a Hebrew word and its English equivalent, compare their context profiles in a Hebrew and an English corpus; where they diverge strongly, mark the pair as needing a connotation note rather than a plain translation. - I3. A gold set for connotation: the paper's term lists, with the translation pairs chosen by the expert, can serve as items against which a future affect rule is checked, with the expected direction of difference written down before the run. ## For Mova I1 goes into [9. Pragmatics and politeness](https://md.mova.elamur.ai/free/en/docs/languages/he/09-pragmatics-politeness/) and [8. Lexicon and register](https://md.mova.elamur.ai/free/en/docs/languages/he/08-lexicon-register/). I2 is a feature idea for `prag` on Hebrew lexicon entries, documented in [8. Lexicon and register](https://md.mova.elamur.ai/free/en/docs/languages/he/08-lexicon-register/). I3 is a test set, to be built from the term lists; no rule comes from it directly. ## Cite The paper itself, not this card. BibTeX from the library's record of the work. ``` @inproceedings{strapparava2012corpus, title = {{Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English}}, author = {Strapparava, Carlo and Stock, Oliviero and Alon, Ilai}, booktitle = {Proceedings of COLING 2012: Posters}, year = {2012}, url = {https://aclanthology.org/C12-2117/} } ``` - [← previous Predicting Learner Levels for Online Exercises of Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2012-dickinson-predicting-learner-levels-online-exercises/) - [next → Effect of Out Of Vocabulary Terms on Inferring Eligibility Criteria for a Retrospective Study in Hebrew EHR](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2013-cohen-effect-out-vocabulary-terms-inferring/) - [↑ back to Modern Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/he/) ## References 17 references, 0 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet. 1. Berry, M. 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