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# Thiago Castro Ferreira

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

Thiago Castro Ferreira wrote 2 of the papers Mova reads, in 2017–2020, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with Anya Belz, [Bernd Bohnet](https://md.mova.elamur.ai/free/en/docs/papers/authors/bernd-bohnet/), [Emiel Krahmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/emiel-krahmer/).

[OpenAlex](https://openalex.org/A5101930005) · [ORCID](https://orcid.org/0000-0003-0200-3646) · [**h-index 12**](https://openalex.org/authors/A5101930005) · [584 citations](https://openalex.org/authors/A5101930005) · [83 works](https://openalex.org/works?filter=author.id:A5101930005) — 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=Thiago+Castro+Ferreira) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Thiago+Castro+Ferreira) · [dblp](https://dblp.org/search?q=Thiago+Castro+Ferreira) · [ACL Anthology](https://aclanthology.org/search/?q=Thiago+Castro+Ferreira) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Thiago+Castro+Ferreira)

Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 2

## Papers

1. **[The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results](https://md.mova.elamur.ai/free/en/docs/papers/mille-2020-third-multilingual-surface-realisation-shared/)** *(2020)* The third edition of the surface realisation task keeps the two tracks of the earlier editions: a shallow track with unordered lemmatised UD trees, and a deep track that also removes function words and morphology.
2. **[Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation](https://md.mova.elamur.ai/free/en/docs/papers/ferreira-2017-linguistic-realisation-as-machine-translation/)** *(2017)* The paper frames AMR-to-text as translation and compares phrase-based and neural MT on the same data. Three preprocessing steps are studied, and every combination is tried (2^3 = 8 strategies): delexicalisation (constants replaced by tags), compression (a conditional random field decides which nodes and edges to…

## Co-authors (8)

- Anya Belz
- [Bernd Bohnet](https://md.mova.elamur.ai/free/en/docs/papers/authors/bernd-bohnet/)
- [Emiel Krahmer](https://md.mova.elamur.ai/free/en/docs/papers/authors/emiel-krahmer/)
- Iacer Calixto
- [Leo Wanner](https://md.mova.elamur.ai/free/en/docs/papers/authors/leo-wanner/)
- [Sander Wubben](https://md.mova.elamur.ai/free/en/docs/papers/authors/sander-wubben/)
- [Simon Mille](https://md.mova.elamur.ai/free/en/docs/papers/authors/simon-mille/)
- [Yvette Graham](https://md.mova.elamur.ai/free/en/docs/papers/authors/yvette-graham/)
- [← previous Teruko Mitamura](https://md.mova.elamur.ai/free/en/docs/papers/authors/teruko-mitamura/)
- [next → Thien Huu Nguyen](https://md.mova.elamur.ai/free/en/docs/papers/authors/thien-huu-nguyen/)
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