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# Anas Shahrour

3 paper cards in Mova's library · 2015–2016

Anas Shahrour wrote 3 of the papers Mova reads, in 2015–2016; often with [Nizar Habash](https://md.mova.elamur.ai/free/en/docs/papers/authors/nizar-habash/), [Salam Khalifa](https://md.mova.elamur.ai/free/en/docs/papers/authors/salam-khalifa/), [Dima Taji](https://md.mova.elamur.ai/free/en/docs/papers/authors/dima-taji/).

[OpenAlex](https://openalex.org/A5006615851) · [**h-index 8**](https://openalex.org/authors/A5006615851) · [566 citations](https://openalex.org/authors/A5006615851) · [14 works](https://openalex.org/works?filter=author.id:A5006615851) — openalex, 2026-10-18

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Anas+Shahrour) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Anas+Shahrour) · [dblp](https://dblp.org/search?q=Anas+Shahrour) · [ACL Anthology](https://aclanthology.org/search/?q=Anas+Shahrour) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Anas+Shahrour)

## Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

- **kept** — Treat missing points as unspecified, not as absent: change the distance so that a point the text does not show does not count as a disagreement. *([Exploiting Arabic Diacritization for High Quality Automatic…](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2016-habash-exploiting-arabic-diacritization-high-quality/) · missing points unspecified (partial): pointed lexicon forms whose points include the input's, else the unpointed segmenter for thinly pointed words; dev with…)*

## Papers

1. **[Exploiting Arabic Diacritization for High Quality Automatic Annotation](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2016-habash-exploiting-arabic-diacritization-high-quality/)** *(2016)* `1 idea kept` Undiacritized Arabic is highly ambiguous: about 12.8 analyses per word out of context. The authors use the diacritics that a text does have to choose among those analyses. MADAMIRA (with the SAMA analyzer) ranks the candidates as usual; then the candidates are filtered by the edit distance between their diacritized…
2. **[CamelParser: A system for Arabic Syntactic Analysis and Morphological Disambiguation](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2016-shahrour-camelparser-system-arabic-syntactic-analysis/)** *(2016)* CamelParser is a public system that builds Arabic dependency trees (in the CATiB style) with the same morphological features that MADAMIRA produces, and then uses the syntax to correct MADAMIRA's choice of case and state.
3. **[Improving Arabic Diacritization through Syntactic Analysis](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2015-shahrour-improving-arabic-diacritization-through-syntactic/)** *(2015)* MADAMIRA chooses a morphological analysis from a ranked list for each word, but it looks only at a small window of neighbouring words and has no syntax.

## Co-authors (4)

- [Nizar Habash](https://md.mova.elamur.ai/free/en/docs/papers/authors/nizar-habash/) ×3
- [Salam Khalifa](https://md.mova.elamur.ai/free/en/docs/papers/authors/salam-khalifa/) ×2
- [Dima Taji](https://md.mova.elamur.ai/free/en/docs/papers/authors/dima-taji/)
- Muhamed Al-Khalil
- [← previous Anas Fahad Khan](https://md.mova.elamur.ai/free/en/docs/papers/authors/anas-fahad-khan/)
- [next → Anastasia Shimorina](https://md.mova.elamur.ai/free/en/docs/papers/authors/anastasia-shimorina/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)