---
title: "Penny Karanasou — author profile and papers · English"
description: "Penny Karanasou, University of Cambridge: 2 papers on Elamur Research (2024–2026), h-index 10 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/penny-karanasou/"
---
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# Penny Karanasou

Penny Karanasou has 2 papers in our library, in 2024–2026, most of them on [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Kate Knill](https://md.research.elamur.ai/free/en/authors/kate-knill/), [Mark Gales](https://md.research.elamur.ai/free/en/authors/mark-gales/), [Stefano Banno](https://md.research.elamur.ai/free/en/authors/stefano-banno/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5006537074) · [ORCID](https://orcid.org/0000-0003-1939-4161) · [**h-index 10**](https://openalex.org/authors/A5006537074) · [37 works](https://openalex.org/works?filter=author.id:A5006537074) · [305 citations](https://openalex.org/works?filter=author.id:A5006537074&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/penny-karanasou/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/penny-karanasou/cited-by/) · [⭐ Paper Stars ranking: #10741](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10741)

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=Penny+Karanasou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Penny+Karanasou) · [dblp](https://dblp.org/search?q=Penny+Karanasou) · [ACL Anthology](https://aclanthology.org/search/?q=Penny+Karanasou)

## Affiliations

[🎓**University of Cambridge** Cambridge · United Kingdom 2015–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🏢**Amazon** London · United Kingdom 2021–2022 · 3 papers](https://ror.org/02xey9634)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

🧭 Topics 1 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/penny-karanasou/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/penny-karanasou/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Speak & Improve Challenge 2025: Tasks and Baseline Systems](https://md.research.elamur.ai/free/en/papers/qian-2024-speak-improve-challenge-2025-tasks/)** *(2024 · 3 citations)* Building automatic tools that grade learner speech and give feedback is difficult. Learners speak spontaneously, the content is not known in advance, and their accents and grammar differ from L1 speakers. Progress has also been held back by a lack of well-labelled public data. The authors launch the Speak & Improve…
2. **[Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs](https://md.research.elamur.ai/free/en/papers/banno-2026-exploiting-english-grammar-profile-l2/)** *(2026 · 1 citation)* The paper tackles automatic analysis of L2 English grammar that goes beyond error spotting. It also records which constructions learners attempt and whether they get them right. The authors build on the English Grammar Profile (EGP), a catalogue of over 1,000 constructs. Each construct is written as a can-do…

## Co-authors here

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

- [Kate Knill](https://md.research.elamur.ai/free/en/authors/kate-knill/) ×2
- [Mark Gales](https://md.research.elamur.ai/free/en/authors/mark-gales/) ×2
- [Stefano Banno](https://md.research.elamur.ai/free/en/authors/stefano-banno/) ×2
- [Diane Nicholls](https://md.research.elamur.ai/free/en/authors/diane-nicholls/)
- [Mengjie Qian](https://md.research.elamur.ai/free/en/authors/mengjie-qian/)

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/penny-karanasou/cited-by/).

Updated 30 October 2026
