---
title: "Michael Percillier — papers and cards"
description: "Michael Percillier: 2 paper cards in the Research library (2017–2020), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/michael-percillier/"
---
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# Michael Percillier

2 paper cards in the Research library · 2017–2020

Michael Percillier wrote 2 of the papers Mova reads, in 2017–2020, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with Carola Trips, [Eva Pettersson](https://md.research.elamur.ai/free/en/authors/eva-pettersson/), Gerold Schneider.

[OpenAlex](https://openalex.org/A5079200308) · [ORCID](https://orcid.org/0000-0002-5195-3501) · [**h-index 6**](https://openalex.org/authors/A5079200308) · [204 citations](https://openalex.org/authors/A5079200308) · [40 works](https://openalex.org/works?filter=author.id:A5079200308) — 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=Michael+Percillier) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Michael+Percillier) · [dblp](https://dblp.org/search?q=Michael+Percillier) · [ACL Anthology](https://aclanthology.org/search/?q=Michael+Percillier) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Michael+Percillier)

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

## Papers

1. **[Lemmatising Verbs in Middle English Corpora: The Benefit of Enriching the Penn-Helsinki Parsed Corpus of Middle English 2 (PPCME2), the Parsed Corpus of Middle English Poetry (PCMEP), and A Parsed Linguistic Atlas of Early Middle English (PLAEME)](https://md.research.elamur.ai/free/en/papers/gram-2020-trips-lemmatising-verbs-middle-english-corpora/)** *(2020)* The paper adds verb lemmas to three annotated Middle English treebanks, so that a query can find a verb by its dictionary entry and not by one of its many spellings.
2. **[Comparing Rule-based and SMT-based Spelling Normalisation for English Historical Texts](https://md.research.elamur.ai/free/en/papers/schneider-2017-comparing-rule-based-smt-based/)** *(2017)* Historical spellings must be mapped to present-day spelling before taggers and parsers can work on them. The paper compares two systems on the ARCHER corpus (English texts from 1650 to 1850): VARD2, a rule-based tool that combines a replacement dictionary, SoundEx-like matching and letter-replacement rules with…

## Co-authors (3)

- Carola Trips
- [Eva Pettersson](https://md.research.elamur.ai/free/en/authors/eva-pettersson/)
- Gerold Schneider
