---
title: "Hermann Ney — papers and cards"
description: "Hermann Ney: 3 paper cards in the Research library (2006–2016), with what each paper is about, the ideas Mova took from it, and the co-authors."
canonical: "https://research.elamur.ai/free/en/authors/hermann-ney/"
---
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# Hermann Ney

3 paper cards in the Research library · 2006–2016

Hermann Ney wrote 3 of the papers Mova reads, in 2006–2016, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/); often with Adrià de Gispert, David Vilar, Deepa Gupta.

[OpenAlex](https://openalex.org/A5112501010) · [**h-index 93**](https://openalex.org/authors/A5112501010) · [47653 citations](https://openalex.org/authors/A5112501010) · [1461 works](https://openalex.org/works?filter=author.id:A5112501010) — openalex-snapshot, 2026-10-14

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=Hermann+Ney) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hermann+Ney) · [dblp](https://dblp.org/search?q=Hermann+Ney) · [ACL Anthology](https://aclanthology.org/search/?q=Hermann+Ney) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Hermann+Ney)

Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 3

## Papers

1. **[CharacTer: Translation Edit Rate on Character Level](https://md.research.elamur.ai/free/en/papers/wang-2016-character-translation-edit-rate-character/)** *(2016)* CharacTER is a translation edit rate computed on characters. It keeps the word-level phrase shift of TER, so a moved phrase costs something, but the edit distance after the shifts is a character-level Levenshtein distance, with spaces counted as characters. Shifting characters directly was about 44 times slower, so…
2. **[Morpho-syntactic Information for Automatic Error Analysis of Statistical Machine Translation Output](https://md.research.elamur.ai/free/en/papers/popovic-2006-morpho-syntactic-information-automatic-error/)** *(2006)* The paper uses word classes to find out where an SMT system goes wrong, for Spanish and English in the TC-STAR parliament data.
3. **[Error Analysis of Statistical Machine Translation Output](https://md.research.elamur.ai/free/en/papers/vilar-2006-error-analysis-statistical-machine-translation/)** *(2006)* The paper gives a hand-built error typology for statistical MT output and applies it to the RWTH system in the first TC-STAR evaluation, for Spanish-to-English, English-to-Spanish and Chinese-to-English, on speech-derived data (clean text, verbatim transcripts and recogniser output).

## Co-authors (13)

- Adrià de Gispert
- David Vilar
- Deepa Gupta
- Hendrik Rosendahl
- Jan-Thorsten Peter
- Jia Xu
- José B. Mariño
- Luis Fernando D'Haro
- [Maja Popović](https://md.research.elamur.ai/free/en/authors/maja-popovic/)
- Marcello Federico
- Patrik Lambert
- Rafael Banchs
- Weiyue Wang

## More papers in the library (9)

Pages of the Research library: our summary, the ideas, references and who cites each.

- [CDER: Efficient MT Evaluation Using Block Movements](https://md.research.elamur.ai/free/en/papers/leusch-2006-cder-efficient-mt-evaluation-block/) — Gregor Leusch, Nicola Ueffing, Hermann Ney · 2006
- [Evaluating Machine Translation Output with Automatic Sentence Segmentation](https://md.research.elamur.ai/free/en/papers/matusov-2005-evaluating-machine-translation-output-automatic/) — Evgeny Matusov, Gregor Leusch, Oliver Bender, et al. · 2005
- [Improvements in Phrase-Based Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/zens-2004-improvements-phrase-based-statistical-machine/) — Richard Zens, Hermann Ney · 2004
- [Statistical Machine Translation with Scarce Resources Using Morpho-syntactic Information](https://md.research.elamur.ai/free/en/papers/en-2004-statistical-machine-translation-scarce-resources/) — Sonja Nießen, Hermann Ney · 2004
- [Discriminative Training and Maximum Entropy Models for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/och-2002-discriminative-training-maximum-entropy-models/) — Franz Josef Och, Hermann Ney · 2002
- [A Comparison of Alignment Models for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/och-2000-comparison-alignment-models-statistical-machine/) — Franz Josef Och, Hermann Ney · 2000
- [An Evaluation Tool for Machine Translation: Fast Evaluation for MT Research](https://md.research.elamur.ai/free/en/papers/en-2000-evaluation-tool-machine-translation-fast/) — Sonja Nießen, Franz Josef Och, Gregor Leusch, et al. · 2000
- [Improved Statistical Alignment Models](https://md.research.elamur.ai/free/en/papers/och-2000-improved-statistical-alignment-models/) — Franz Josef Och, Hermann Ney · 2000
- [Improved Alignment Models for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/och-1999-improved-alignment-models-statistical-machine/) — Franz Josef Och, Christoph Tillmann, Hermann Ney · 1999
