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# Eric Atwell

2 paper cards in Mova's library · 2010

Eric Atwell wrote 2 of the papers Mova reads, in 2010, most of them on [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/), [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/); often with Abdul-Baquee M. Sharaf, [Kais Dukes](https://md.mova.elamur.ai/free/en/docs/papers/authors/kais-dukes/), Majdi Sawalha.

[OpenAlex](https://openalex.org/A5074817028) · [ORCID](https://orcid.org/0000-0001-9395-3764) · [**h-index 31**](https://openalex.org/authors/A5074817028) · [4547 citations](https://openalex.org/authors/A5074817028) · [433 works](https://openalex.org/works?filter=author.id:A5074817028) — openalex, 2026-10-19

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=Eric+Atwell) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Eric+Atwell) · [dblp](https://dblp.org/search?q=Eric+Atwell) · [ACL Anthology](https://aclanthology.org/search/?q=Eric+Atwell) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Eric+Atwell)

Topics: [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1 · [Part-of-speech tagging](https://md.mova.elamur.ai/free/en/docs/papers/topics/part-of-speech-tagging/) 1

## Papers

1. **[Syntactic Annotation Guidelines for the Quranic Arabic Dependency Treebank](https://md.mova.elamur.ai/free/en/docs/papers/bank-2010-dukes-syntactic-annotation-guidelines-quranic-arabic/)** *(2010)* The Quranic Arabic Dependency Treebank is part of the Quranic Arabic Corpus. All 77,430 words have manually verified morphology; 11,000 words (about 14%) have syntax, annotated by one part-time expert in three months. The trees follow the traditional i'rab grammar: dependency edges run between morphological segments…
2. **[Fine-Grain Morphological Analyzer and Part-of-Speech Tagger for Arabic Text](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2010-sawalha-fine-grain-morphological-analyzer-part/)** *(2010)* The authors argue that a tagger for Arabic should use a very fine-grained tag set, since many features (person, number, gender, case, mood, voice, definiteness, and more) help both analysis and later use of the corpus.

## Co-authors (3)

- Abdul-Baquee M. Sharaf
- [Kais Dukes](https://md.mova.elamur.ai/free/en/docs/papers/authors/kais-dukes/)
- Majdi Sawalha
- [← previous Erhard Hinrichs](https://md.mova.elamur.ai/free/en/docs/papers/authors/erhard-hinrichs/)
- [next → Eric Nyberg](https://md.mova.elamur.ai/free/en/docs/papers/authors/eric-nyberg/)
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