[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/neville-ryant/)

[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/) / Neville Ryant

# Neville Ryant

2 paper cards in Mova's library · 2022

Neville Ryant wrote 2 of the papers Mova reads, in 2022; often with [Beatrice Santorini](https://md.mova.elamur.ai/free/en/docs/papers/authors/beatrice-santorini/), [Seth Kulick](https://md.mova.elamur.ai/free/en/docs/papers/authors/seth-kulick/).

[OpenAlex](https://openalex.org/A5088320958) · [ORCID](https://orcid.org/0000-0003-2545-6912) · [**h-index 20**](https://openalex.org/authors/A5088320958) · [2020 citations](https://openalex.org/authors/A5088320958) · [111 works](https://openalex.org/works?filter=author.id:A5088320958) — 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=Neville+Ryant) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Neville+Ryant) · [dblp](https://dblp.org/search?q=Neville+Ryant) · [ACL Anthology](https://aclanthology.org/search/?q=Neville+Ryant) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Neville+Ryant)

## Papers

1. **[Penn-Helsinki Parsed Corpus of Early Modern English: First Parsing Results and Analysis](https://md.mova.elamur.ai/free/en/docs/papers/findings-2022-kulick-penn-helsinki-parsed-corpus-early/)** *(2022)* The PPCEME is a 1.7-million-word treebank of English from 1500 to 1712. It has a much larger POS set than the Penn Treebank and uses function tags (SBJ, OB1, MAT, THT and others) where the PTB uses tree structure. The authors train a self-attentive constituency parser on eight cross-validation splits, with four kinds…
2. **[Parsing Early Modern English for Linguistic Search](https://md.mova.elamur.ai/free/en/docs/papers/kulick-2022-parsing-early-modern-english-linguistic/)** *(2022)* The question is whether a neural constituency parser is accurate enough for syntactic research on Early Modern English.

## Co-authors (2)

- [Beatrice Santorini](https://md.mova.elamur.ai/free/en/docs/papers/authors/beatrice-santorini/) ×2
- [Seth Kulick](https://md.mova.elamur.ai/free/en/docs/papers/authors/seth-kulick/) ×2
- [← previous Nelson F. Liu](https://md.mova.elamur.ai/free/en/docs/papers/authors/nelson-f-liu/)
- [next → Ngoc Thang Vu](https://md.mova.elamur.ai/free/en/docs/papers/authors/ngoc-thang-vu/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)
