--- title: "Corpus-based Explorations of Affective Load Differences in" description: "The authors ask whether words with roughly the same denotation in Arabic, Hebrew and English carry… 17 references, cited by 1 paper here." authors: ["Carlo Strapparava", "Oliviero Stock", "Ilai Alon"] year: 2012 venue: "Proceedings of COLING 2012: Posters" source: "https://aclanthology.org/C12-2117/" 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/strapparava-2012-corpus-based-explorations-affective-load/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/strapparava-2012-corpus-based-explorations-affective-load/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [2012](https://md.research.elamur.ai/free/en/papers/2012/page/2/) / Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English # Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English Paper · 2012 · Carlo Strapparava, Oliviero Stock and Ilai Alon **Authors:** [Carlo Strapparava](https://md.research.elamur.ai/free/en/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 OpenAlex, 2026-10-14](https://openalex.org/works?filter=cites:W2251733702) · Cited by **1** paper in our library of the 141,840 papers whose bibliographies we read · [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) · [COLING 2012](https://md.research.elamur.ai/free/en/venues/coling/2012/) — Proceedings of COLING 2012: Posters · published by [International Committee on Computational Linguistics (ICCL)](https://md.research.elamur.ai/free/en/publishers/international-committee-on-computational-linguistics-iccl/) · [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) · [Semantic Scholar](https://www.semanticscholar.org/author/1723976) · h 36 · 7,899 citations · 218 works 2. [Oliviero Stock](https://openalex.org/A5033236044) [ORCID](https://orcid.org/0000-0001-5021-411X) · [Semantic Scholar](https://www.semanticscholar.org/author/1714320) · h 32 · 3,870 citations · 228 works 3. [Ilai Alon](https://openalex.org/A5019167015) [ORCID](https://orcid.org/0000-0002-6252-0859) · [Semantic Scholar](https://www.semanticscholar.org/author/35303229) · h 7 · 192 citations · 46 works Citations and author metrics: OpenAlex, 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 [languages/he/09-pragmatics-politeness.md](https://mova.elamur.ai/free/en/docs/languages/he/09-pragmatics-politeness/) and [languages/he/08-lexicon-register.md](https://mova.elamur.ai/free/en/docs/languages/he/08-lexicon-register/). I2 is a feature idea for `prag` on Hebrew lexicon entries, documented in [languages/he/08-lexicon-register.md](https://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. ## Institutions [🔬**Fondazione Bruno Kessler** Trento · Italy 25 works · 43,498 citations](https://md.research.elamur.ai/free/en/labs/fondazione-bruno-kessler/) ## Fields, topics and concepts 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Computer Science · 9,085 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 8,888 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 9,296 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 9,206 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 5 Research subjects and languages the work is about.[English · 1,373 works](https://md.research.elamur.ai/free/en/topics/english/) · [Sentiment & emotion · 609 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Semitic languages · 1,485 works](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Hebrew & Aramaic · 482 works](https://md.research.elamur.ai/free/en/topics/hebrew-aramaic/) · [Modern Hebrew · 153 works](https://md.research.elamur.ai/free/en/topics/modern-hebrew/) ## Cite Cite as Carlo Strapparava, Oliviero Stock and Ilai Alon. 2012. Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English. Proceedings of COLING 2012: Posters. The paper itself, not this card. BibTeX from the library's record of the work. ```bibtex @inproceedings{strapparava2012corpus, title = {{Corpus-based Explorations of Affective Load Differences in Arabic-Hebrew-English}}, author = {Carlo Strapparava, Oliviero Stock and Ilai Alon}, booktitle = {Proceedings of COLING 2012: Posters}, year = {2012}, url = {https://aclanthology.org/C12-2117/} } ``` - [← previous A Tool for Extracting Conversational Implicatures](https://md.research.elamur.ai/free/en/papers/tatu-2012-tool-extracting-conversational-implicatures/) - [next → Smart PV: A Software Application for Managing English Phrasal Verbs](https://md.research.elamur.ai/free/en/papers/losada-2012-smart-pv-software-application-managing/) - [↑ back to papers of 2012](https://md.research.elamur.ai/free/en/papers/2012/page/2/) ## References 17 references, 1 of them with a card of ours. ↗ leads to the work, «find» searches for one we have no id for yet. 1. Berry, M. (1992). Large-scale sparse singular value computations. 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