---
title: "André Martins — papers"
description: "André Martins: 6 papers in the Elamur Research library (2010–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/andre-martins/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/andre-martins/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / André Martins

# André Martins

6 papers on this site (2010–2023)

[OpenAlex](https://openalex.org/A5051693368) · [ORCID](https://orcid.org/0000-0001-8282-625X) · h-index 39 · 259 works · 5326 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Findings of the WMT 2023 Shared Task on Quality Estimation](https://md.research.elamur.ai/free/en/papers/blain-2023-findings-wmt-2023-shared-task/) — Frederic Blain, Chrysoula Zerva, Ricardo Rei, et al. · 2023
- [Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/guerreiro-2023-looking-needle-haystack-comprehensive-study/) — Nuno M. Guerreiro, Elena Voita, André Martins · 2023
- [The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/) — Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al. · 2023
- [Quality-Aware Decoding for Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/fernandes-2022-quality-aware-decoding-neural-machine/) — Patrick Fernandes, António Farinhas, Ricardo Rei, et al. · 2022
- [Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers](https://md.research.elamur.ai/free/en/papers/aclbulk-2013-martins-turning-turbo-fast-third-order/) — André Martins, Miguel Almeida, Noah A. Smith · 2013
- [Turbo Parsers: Dependency Parsing by Approximate Variational Inference](https://md.research.elamur.ai/free/en/papers/martins-2010-turbo-parsers-dependency-parsing-approximate/) — André Martins, Noah Smith, Eric Xing, et al. · 2010
