--- title: "Deryle Lonsdale — papers and cards" description: "Deryle Lonsdale: 3 paper cards in the Research library (2010–2014), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/deryle-lonsdale/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/deryle-lonsdale/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Deryle Lonsdale # Deryle Lonsdale 3 paper cards in the Research library · 2010–2014 Deryle Lonsdale wrote 3 of the papers Mova reads, in 2010–2014; often with [Eric Ringger](https://md.research.elamur.ai/free/en/authors/eric-ringger/), [Kevin Seppi](https://md.research.elamur.ai/free/en/authors/kevin-seppi/), [Kristian Heal](https://md.research.elamur.ai/free/en/authors/kristian-heal/). [OpenAlex](https://openalex.org/A5017104888) · [ORCID](https://orcid.org/0000-0001-7784-6061) · [**h-index 19**](https://openalex.org/authors/A5017104888) · [1512 citations](https://openalex.org/authors/A5017104888) · [121 works](https://openalex.org/works?filter=author.id:A5017104888) — 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=Deryle+Lonsdale) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Deryle+Lonsdale) · [dblp](https://dblp.org/search?q=Deryle+Lonsdale) · [ACL Anthology](https://aclanthology.org/search/?q=Deryle+Lonsdale) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Deryle+Lonsdale) ## Papers 1. **[Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage](https://md.research.elamur.ai/free/en/papers/lingbulk-2014-black-evaluating-lemmatization-models-machine-assisted/)** *(2014)* The task is to link each word token of a Syriac corpus to the right dictionary headword (corpus-dictionary linkage), here reduced to stem-to-baseform linkage, since segmentation already reaches about 98.9% accuracy. 2. **[First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis](https://md.research.elamur.ai/free/en/papers/lingbulk-2012-felt-first-results-study-evaluating-pre/)** *(2012)* The authors ask when machine pre-annotation (the annotator corrects a machine guess instead of starting from nothing) and correction propagation (a correction re-runs the model on the rest of the same sentence) make Syriac morphological annotation faster and more accurate. 3. **[A Probabilistic Morphological Analyzer for Syriac](https://md.research.elamur.ai/free/en/papers/aclbulk-2010-mcclanahan-probabilistic-morphological-analyzer-syriac/)** *(2010)* The authors build a data-driven morphological analyzer for Syriac, an unvocalized Aramaic dialect with no existing tools, which needs only labelled data. ## Co-authors (8) - [Eric Ringger](https://md.research.elamur.ai/free/en/authors/eric-ringger/) ×3 - [Kevin Seppi](https://md.research.elamur.ai/free/en/authors/kevin-seppi/) ×3 - [Kristian Heal](https://md.research.elamur.ai/free/en/authors/kristian-heal/) ×3 - [Paul Felt](https://md.research.elamur.ai/free/en/authors/paul-felt/) ×2 - [Robbie Haertel](https://md.research.elamur.ai/free/en/authors/robbie-haertel/) ×2 - George Busby - Kevin Black - Peter McClanahan