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Pranava Madhyastha

Pranava Madhyastha has 2 papers in our library, in 2017–2019, most of them on Machine translation, Interpretability, Vision & language; often with Loïc Barrault, Lucia Specia, Xavier Carreras.

2 papers in our library · 2017–2019

OpenAlex · ORCID · h-index 14 · 107 works · 760 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 89 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #3784

The profile is the library's match of the name; two people with one name are not always told apart.

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

 Affiliations

🎓City, University of LondonLondon · United Kingdom2021–2026 · 22 paperscurrent🔬The Alan Turing InstituteLondon · United Kingdom2025–2026 · 13 paperscurrent🎓City St George's, University of LondonLondon · United Kingdom2023–2026 · 11 paperscurrent🎓University of LondonLondon · United Kingdom2022–2026 · 4 paperscurrent🎓St George's, University of LondonLondon · United Kingdom2026 · 1 papercurrent🎓Imperial College LondonLondon · United Kingdom2019–2023 · 28 papers🎓University of SheffieldSheffield · United Kingdom2017–2021 · 13 papers🎓Universitat Politècnica de CatalunyaBarcelona · Spain2014–2016 · 6 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Topics

 Machine translation (1) Interpretability (1) Vision & language (1)

 Works by year

2010s

20191 paper20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Probing the Need for Visual Context in Multimodal Machine Translation (2019 · 214 citations)
    Earlier multimodal machine translation (MMT) studies found that images add little or nothing. Many attributed this to weak image features or poor fusion methods. The authors propose another cause: the Multi30K captions are short, simple and repetitive, so the English source already holds enough context and the image…
  2. Prepositional Phrase Attachment over Word Embedding Products (2017 · 1 citation)
    The paper scores a PP attachment with a tensor product of the word vectors of the verb, the noun, the preposition and the object, with a low-rank constraint on the tensor.

Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

 Co-authors here

3 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 89 times (of the 140,884 papers whose bibliographies we read); 4 citing papers with a page here →.

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