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# Nitika Mathur

2 paper cards in Mova's library · 2020–2022

Nitika Mathur wrote 2 of the papers Mova reads, in 2020–2022, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Alon Lavie](https://md.mova.elamur.ai/free/en/docs/papers/authors/alon-lavie/), André F. T. Martins, [Chi-kiu Lo](https://md.mova.elamur.ai/free/en/docs/papers/authors/chi-kiu-lo/).

[OpenAlex](https://openalex.org/A5007765266) · [**h-index 10**](https://openalex.org/authors/A5007765266) · [516 citations](https://openalex.org/authors/A5007765266) · [17 works](https://openalex.org/works?filter=author.id:A5007765266) — 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=Nitika+Mathur) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Nitika+Mathur) · [dblp](https://dblp.org/search?q=Nitika+Mathur) · [ACL Anthology](https://aclanthology.org/search/?q=Nitika+Mathur) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Nitika+Mathur)

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

## Papers

1. **[Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust](https://md.mova.elamur.ai/free/en/docs/papers/freitag-2022-results-wmt22-metrics-shared-task/)** *(2022)* The shared task scored submitted MT metrics on WMT22 system outputs for three pairs (English to German, English to Russian, Chinese to English) across four domains: news, social, e-commerce and chat.
2. **[Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics](https://md.mova.elamur.ai/free/en/docs/papers/mathur-2020-tangled-up-bleu-reevaluating-evaluation/)** *(2020)* The paper checks how metrics are judged. The usual test is the Pearson correlation between a metric's system scores and human direct-assessment scores, computed on the WMT 2019 systems. The authors show that this correlation is fragile: a single outlier system, far worse than the rest, can lift the correlation of all…

## Co-authors (11)

- [Alon Lavie](https://md.mova.elamur.ai/free/en/docs/papers/authors/alon-lavie/)
- André F. T. Martins
- [Chi-kiu Lo](https://md.mova.elamur.ai/free/en/docs/papers/authors/chi-kiu-lo/)
- [Craig Stewart](https://md.mova.elamur.ai/free/en/docs/papers/authors/craig-stewart/)
- [Eleftherios Avramidis](https://md.mova.elamur.ai/free/en/docs/papers/authors/eleftherios-avramidis/)
- [George Foster](https://md.mova.elamur.ai/free/en/docs/papers/authors/george-foster/)
- [Markus Freitag](https://md.mova.elamur.ai/free/en/docs/papers/authors/markus-freitag/)
- [Ricardo Rei](https://md.mova.elamur.ai/free/en/docs/papers/authors/ricardo-rei/)
- [Timothy Baldwin](https://md.mova.elamur.ai/free/en/docs/papers/authors/timothy-baldwin/)
- Tom Kocmi
- Trevor Cohn
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