Mova0.5 pre-release⌕
☰
home / docs / papers / authors / Michael Percillier

Michael Percillier

2 paper cards in Mova's library · 2017–2020

Michael Percillier wrote 2 of the papers Mova reads, in 2017–2020, most of them on Machine translation; often with Carola Trips, Eva Pettersson, Gerold Schneider.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology · ORCID

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) (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 (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)

This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/authors/michael-percillier/