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# Guy Lapalme

3 paper cards in Mova's library · 2020–2024

Guy Lapalme wrote 3 of the papers Mova reads, in 2020–2024, most of them on [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/), [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/).

[OpenAlex](https://openalex.org/A5004268705) · [**h-index 30**](https://openalex.org/authors/A5004268705) · [10081 citations](https://openalex.org/authors/A5004268705) · [305 works](https://openalex.org/works?filter=author.id:A5004268705) — 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=Guy+Lapalme) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guy+Lapalme) · [dblp](https://dblp.org/search?q=Guy+Lapalme) · [ACL Anthology](https://aclanthology.org/search/?q=Guy+Lapalme) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Guy+Lapalme)

Topics: [Universal Dependencies](https://md.mova.elamur.ai/free/en/docs/papers/topics/universal-dependencies/) 1 · [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1

## Papers

1. **[pyrealb at the GEM'24 Data-to-text Task: Symbolic English Text Generation from RDF Triples](https://md.mova.elamur.ai/free/en/docs/papers/lapalme-2024-pyrealb-gem-24-data-text/)** *(2024)* The paper describes a symbolic English generator for the GEM'24 data-to-text task, where a set of RDF triples (at most seven) must become text.
2. **[Validation of Universal Dependencies by regeneration](https://md.mova.elamur.ai/free/en/docs/papers/ud-2021-lapalme-validation-universal-dependencies-regeneration/)** *(2021)* The paper checks UD annotation by regeneration. A UD tree is converted into a constituency-style input for the JSrealB realiser, the realiser produces a sentence, and the result is compared with the original sentence, with differences highlighted in a web tool. Across the 14 English UD 2.8 corpora (32,641 sentences)…
3. **[The jsRealB Text Realizer: Organization and Use Cases -- Revised version](https://md.mova.elamur.ai/free/en/docs/papers/lapalme-2020-jsrealb-text-realizer-organization-use/)** *(2020)* The paper describes the design of jsRealB, a text realiser for English and French that runs in a web page or as a Node module.
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