---
title: "Josef van Genabith — papers and cards"
description: "Josef van Genabith: 7 paper cards in the Research library (1998–2011), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/josef-van-genabith/"
---
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# Josef van Genabith

7 paper cards in the Research library · 1998–2011

Josef van Genabith wrote 7 of the papers Mova reads, in 1998–2011, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with [Jennifer Foster](https://md.research.elamur.ai/free/en/authors/jennifer-foster/), [Joachim Wagner](https://md.research.elamur.ai/free/en/authors/joachim-wagner/), [Lamia Tounsi](https://md.research.elamur.ai/free/en/authors/lamia-tounsi/).

[OpenAlex](https://openalex.org/A5049194403) · [ORCID](https://orcid.org/0000-0003-1322-7944) · [**h-index 38**](https://openalex.org/authors/A5049194403) · [5376 citations](https://openalex.org/authors/A5049194403) · [366 works](https://openalex.org/works?filter=author.id:A5049194403) — openalex-snapshot, 2026-10-14

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

Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 1

## Papers

1. **[An Open-Source Finite State Morphological Transducer for Modern Standard Arabic](https://md.research.elamur.ai/free/en/papers/aclbulk-2011-attia-open-source-finite-state-morphological/)** *(2011)* Attia et al. build AraComLex, an open-source finite-state morphological analyzer for Modern Standard Arabic, compiled with Foma from a lemma-based lexc lexicon and about 130 alteration rules. They grow a seed lexicon of 10,799 lemmas to 30,587 lemmas. The additions come from a billion-word corpus pre-annotated with…
2. **[Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic](https://md.research.elamur.ai/free/en/papers/aclbulk-2011-dehdari-morphological-features-parsing-morphologically-rich/)** *(2011)* Dehdari, Tounsi and van Genabith ask which morphological features, folded into the POS tag, help a PCFG latent-annotation parser (a re-implemented Berkeley parser) on the Penn Arabic Treebank, using the ATB3-v3.2 80/10/10 split.
3. **[Learning Morphology with Morfette](https://md.research.elamur.ai/free/en/papers/lingbulk-2008-chrupala-learning-morphology-morfette/)** *(2008)* Morfette learns morphological tagging and lemmatization jointly from annotated corpora. Two modules, each a maximum entropy classifier, predict the morphological tags and the lemmas. A third module combines their predictions into a probability distribution over tag-lemma pairs for each sentence. Lemmatization is…
4. **[Adapting a WSJ-Trained Parser to Grammatically Noisy Text](https://md.research.elamur.ai/free/en/papers/aclbulk-2008-foster-adapting-wsj-trained-parser-grammatically/)** *(2008)* The paper makes a treebank of ungrammatical English by injecting one or two errors into Penn Treebank sentences and changing the tree only at the yield.
5. **[Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics](https://md.research.elamur.ai/free/en/papers/lingbulk-2008-foster-parser-evaluation-bnc-evaluating-4/)** *(2008)* The paper builds a new test set of 1,000 hand-corrected British National Corpus parse trees, chosen so that each sentence has a verb that is unseen in the WSJ training sections.
6. **[Adapting WSJ-Trained Parsers to the British National Corpus Using In-Domain Self-Training](https://md.research.elamur.ai/free/en/papers/lingbulk-2007-foster-adapting-wsj-trained-parsers-british/)** *(2007)* The question is whether a parser trained on WSJ text can be adapted to another domain without new annotation.
7. **[Syntactic and Semantic Transfer with F-Structures](https://md.research.elamur.ai/free/en/papers/dorna-1998-syntactic-semantic-transfer-f-structures/)** *(1998)* The paper gives two ways to transfer between languages from LFG f-structures, the attribute-value syntax of LFG.

## Co-authors (13)

- [Jennifer Foster](https://md.research.elamur.ai/free/en/authors/jennifer-foster/) ×3
- [Joachim Wagner](https://md.research.elamur.ai/free/en/authors/joachim-wagner/) ×2
- [Lamia Tounsi](https://md.research.elamur.ai/free/en/authors/lamia-tounsi/) ×2
- [Anette Frank](https://md.research.elamur.ai/free/en/authors/anette-frank/)
- Antonio Toral
- [Djamé Seddah](https://md.research.elamur.ai/free/en/authors/djame-seddah/)
- Georgiana Dinu
- Grzegorz Chrupala
- Jon Dehdari
- Martin C. Emele
- Michael Dorna
- [Mohammed Attia](https://md.research.elamur.ai/free/en/authors/mohammed-attia/)
- Pavel Pecina

## More papers in the library (5)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [A Critical Study of Automatic Evaluation in Sign Language Translation](https://md.research.elamur.ai/free/en/papers/yazdani-2026-critical-study-automatic-evaluation-sign/) — Shakib Yazdani, Yasser HAMIDULLAH, Cristina España-Bonet, et al. · 2026
- [Dialectal Filtering: Synthesizing Kurdish Corpora for Low-Resource Varieties by Utilizing “Noise” in Large Textual Data](https://md.research.elamur.ai/free/en/papers/schuler-2026-dialectal-filtering-synthesizing-kurdish-corpora/) — Christian Schuler, Raman Ahmad, Ānrán Wáng, et al. · 2026
- [When Flores Bloomz Wrong: Cross-Direction Contamination in Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/tan-2026-when-flores-bloomz-wrong-cross/) — David Tan, Pinzhen Chen, Josef van Genabith, et al. · 2026
- [MultiCoPIE: A Multilingual Corpus of Potentially Idiomatic Expressions for Cross-lingual PIE Disambiguation](https://md.research.elamur.ai/free/en/papers/sentsova-2025-multicopie-multilingual-corpus-potentially-idiomatic/) — Uliana Sentsova, Debora Ciminari, Josef van Genabith, et al. · 2025
- [Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/anikina-2025-reverse-probing-evaluating-knowledge-transfer/) — Tatiana Anikina, Arne Binder, David Harbecke, et al. · 2025
