Evidence map›Paper›PMID 40206698›Full record

ArticleData in brief2025

An 81-million-word multi-genre corpus of Arabic books.

Andreas Hallberg

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Andreas HallbergUniversity of Gothenburg, Department of Languages and Literatures, Box 200, 40530 Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article describes The Arabic E-Book Corpus, a freely available Arabic corpus consisting of 1,745 books (81,5 million words) published by the Hindawi Foundation between 2008 and 2024. The books are of various genres, including fiction and non-fiction, children's literature, plays, and poetry. Most of the texts are editions of works originally published in the 20th century, but the corpus also includes editions of older historical works. Books were retrieved in epub format and converted to plain text and html. Only books published under unrestricted licenses are included. Extensive metadata (were collected from colophons and the publisher's website title, author, genre, publication date, original publication date, original language, etc.). The corpus was originally collected in order to investigate variation in the use of vowel diacritics across genres, but it is also suitable for other linguistic inquiries, especially as relating to genre, and as a source of texts published under free licenses for training language models.

Indexed as

ArabicCorpus linguisticsGenre

Identifiers

PMID40206698
PMCPMC11981761

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.