[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/josef-van-genabith/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Josef van Genabith # Josef van Genabith 7 paper cards in Mova's library · 1998–2011 Josef van Genabith wrote 7 of the papers Mova reads, in 1998–2011, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Jennifer Foster](https://md.mova.elamur.ai/free/en/docs/papers/authors/jennifer-foster/), [Joachim Wagner](https://md.mova.elamur.ai/free/en/docs/papers/authors/joachim-wagner/), [Lamia Tounsi](https://md.mova.elamur.ai/free/en/docs/papers/authors/lamia-tounsi/). [OpenAlex](https://openalex.org/A5049194403) · [ORCID](https://orcid.org/0000-0003-1322-7944) · [**h-index 38**](https://openalex.org/authors/A5049194403) · [5517 citations](https://openalex.org/authors/A5049194403) · [366 works](https://openalex.org/works?filter=author.id:A5049194403) — 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=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.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1 ## Papers 1. **[An Open-Source Finite State Morphological Transducer for Modern Standard Arabic](https://md.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/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.mova.elamur.ai/free/en/docs/papers/authors/jennifer-foster/) ×3 - [Joachim Wagner](https://md.mova.elamur.ai/free/en/docs/papers/authors/joachim-wagner/) ×2 - [Lamia Tounsi](https://md.mova.elamur.ai/free/en/docs/papers/authors/lamia-tounsi/) ×2 - [Anette Frank](https://md.mova.elamur.ai/free/en/docs/papers/authors/anette-frank/) - Antonio Toral - [Djamé Seddah](https://md.mova.elamur.ai/free/en/docs/papers/authors/djame-seddah/) - Georgiana Dinu - Grzegorz Chrupala - Jon Dehdari - Martin C. Emele - Michael Dorna - [Mohammed Attia](https://md.mova.elamur.ai/free/en/docs/papers/authors/mohammed-attia/) - Pavel Pecina - [← previous Jonathan Schler](https://md.mova.elamur.ai/free/en/docs/papers/authors/jonathan-schler/) - [next → Joseph Rosenzweig](https://md.mova.elamur.ai/free/en/docs/papers/authors/joseph-rosenzweig/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)