Usability Evaluation of Lexicographic e-Services

Alhafi, Diana; Deik, Anton; Benkhelifa, Elhadj; Jarrar, Mustafa

doi:10.1109/aiccsa47632.2019.9035226

Cited by 8 publications

(7 citation statements)

References 11 publications

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“…similar to the Princeton WordNet for English (Miller et al, 1990). The largest available lexical-semantic resource for Arabic is the Birzeit University's lexicographic database 2 , which contains the Arabic Ontology (Jarrar, 2021(Jarrar, , 2011 and about 400K glosses extracted from about 150 lexicons Alhafi et al, 2019). The problem is that each of the 150 lexicons covers a partial set of glosses and lemmas.…”

Section: Context-gloss Pairs Extractionmentioning

confidence: 99%

ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD

Al-Hajj¹,

Jarrar²

2021

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing M

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Section: Context-gloss Pairs Extractionmentioning

confidence: 99%

ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD

Al-Hajj¹,

Jarrar²

2021

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing M

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“…The T awseem portal allows to search for lemmas in the Birzeit's Lexicographic database Alhafi et al, 2019) and Arabic Ontology (Jarrar, 2021(Jarrar, , 2011; otherwise, we introduced a new lemma.…”

Section: Annotation Guidelinesmentioning

confidence: 99%

Nâbra: Syrian Arabic Dialects with Morphological Annotations

Nayouf,

Hammouda,

Jarrar

et al. 2023

Proceedings of ArabicNLP 2023

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This paper presents Nâbra ( ), a corpora of Syrian Arabic dialects with morphological annotations. A team of Syrian natives collected more than 6K sentences containing about 60K words from several sources including social media posts, scripts of movies and series, lyrics of songs and local proverbs to build Nâbra. Nâbra covers several local Syrian dialects including those of Aleppo, Damascus, Deir-ezzur, Hama, Homs, Huran, Latakia, Mardin, Raqqah, and Suwayda. A team of nine annotators annotated the 60K tokens with full morphological annotations across sentence contexts. We trained the annotators to follow methodological annotation guidelines to ensure unique morpheme annotations, and normalized the annotations. F1 and κ agreement scores ranged between 74% and 98% across features, showing the excellent quality of Nâbra annotations. Our corpora are open-source and publicly available as part of the Currasat portal https://sina.birzeit.edu/currasat.

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“…SAMA (Maamouri et al, 2010) is a substantial improvement and refinement on BAMA as it extends its lexicon and provides several analysis refinements. The Prague Arabic Dependency Tree bank (Hajič et al, 2004) enriched the literature with functional linguistic annotations which in turn lead to the emergence of ElixirFM (Smrž, 2007) The Arabic lexicographic database at Birzeit University Alhafi et al, 2019) provides a large set of MSA lemmas, word forms, and morphological features, which are linked with the Arabic Ontology (Jarrar, 2021; Jarrar, 2011) using the W3C LEMON model…”

Section: Msa Resourcesmentioning

confidence: 99%

Curras + Baladi: Towards a Levantine Corpus

Haff¹,

Jarrar²,

Hammouda³

et al. 2022

Preprint

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This paper presents two-fold contributions: a full revision of the Palestinian morphologically annotated corpus (Curras), and a newly annotated Lebanese corpus (Baladi). Both corpora can be used as a more general Levantine corpus. Baladi consists of around 9.6K morphologically annotated tokens. Each token was manually annotated with several morphological features and using LDC's SAMA lemmas and tags. The inter-annotator evaluation on most features illustrates 78.5% Kappa and 90.1% F1-Score. Curras was revised by refining all annotations for accuracy, normalization and unification of POS tags, and linking with SAMA lemmas. This revision was also important to ensure that both corpora are compatible and can help to bridge the nuanced linguistic gaps that exist between the two highly mutually intelligible dialects. Both corpora are publicly available through a web portal.

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Usability Evaluation of Lexicographic e-Services

Cited by 8 publications

References 11 publications

ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD

ArabGlossBERT: Fine-Tuning BERT on Context-Gloss Pairs for WSD

Nâbra: Syrian Arabic Dialects with Morphological Annotations

Curras + Baladi: Towards a Levantine Corpus

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