Matthew Snover

3.2k citations
20 papers · 2.2k · 1 hit paper · h-index 12

Impact in

    • Natural Language Processing Techniques
    • Topic Modeling
    • Text Readability and Simplification
    • Speech and dialogue systems
    • Semantic Web and Ontologies
    • Speech Recognition and Synthesis
    • Algorithms and Data Compression
    • Multimodal Machine Learning Applications

Papers in

    • Natural Language Processing Techniques 16
    • Topic Modeling 15
    • Speech and dialogue systems 6
    • Semantic Web and Ontologies 3
    • Speech Recognition and Synthesis 3
    • Text Readability and Simplification 2
    • Biomedical Text Mining and Ontologies 2
Journals
Machine Translation (2 papers)Theory and applications of categories (1 paper)Meeting of the Association for Computational Linguistics (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Open Scholarship Institutional Repository (Washington University in St. Louis) (1 paper)
Partner nations
United States

In The Last Decade

Matthew Snover

19 papers receiving 1.8k citations

Matthew Snover's Hit Papers

A Study of Translation Edit Rate with Targeted Human Annotation 2006 · 1.6k citations
1.6k0+6+13Years since publication50010001.5k

Peers

Matthew Snover
Comparison fields: 5 of 49
  • Artificial Intelligence 2.1k
  • Computer Vision and Pattern Recognition 255
  • Language and Linguistics 114
  • Information Systems 157
  • Human-Computer Interaction 23
Replace Linnea Micciulla with:
Linnea Micciulla United States
Daisuke Kawahara Japan
Johan Hall Sweden
Yvette Graham Ireland
Maja Popović Germany
Philipp Koehn United Kingdom
William B. Dolan United States
Masaaki Nagata Japan
Nadir Durrani Qatar
Ann Bies United States
Matthew Snover relative to Linnea Micciulla United States Linnea Micciulla's profile →
Citations per field
00.5×1.5×1.8×
Linnea Micciulla · 1×
Citations per year

Countries citing papers authored by Matthew Snover

Since Specialization
Citations

This map shows the geographic impact of Matthew Snover's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew Snover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Snover more than expected).

Fields of papers citing papers by Matthew Snover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Snover. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew Snover. The network helps show where Matthew Snover may publish in the future.

Co-authors

The 25 scholars most cited alongside Matthew Snover, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew Snover Line = papers co-authored together Matthew Snover links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
A Study of Translation Edit Rate with Targeted Human Annotation
Hit paper breakdown →
20061591
2 2009142
3 2009107
4 200849
5
CUNY-BLENDER TAC-KBP2010 Entity Linking and Slot Filling System Description
201039
6 200136
7 200634
8 200434
9 200233
10 200629
11
A Probabilistic Model for Learning Concatenative Morphology
200214
12
Unsupervised Language-Independent Name Translation Mining from Wikipedia Infoboxes
201112
13 200611
14 20029
15 20096
16 20214
17
Cross-lingual Slot Filling from Comparable Corpora
20113
18 20221
19 20161
20
Exploring Different Human Judgments with a Tunable MT Metric
20091

About Matthew Snover

Matthew Snover is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Signal Processing and Experimental and Cognitive Psychology, having authored 20 papers that have together received 2.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers), Speech and dialogue systems (6 papers), Semantic Web and Ontologies (3 papers), Speech Recognition and Synthesis (3 papers), Music and Audio Processing (2 papers), Text Readability and Simplification (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Computer Vision and Pattern Recognition (255 citations), Language and Linguistics (114 citations), Information Systems (157 citations) and Human-Computer Interaction (23 citations). Matthew Snover has collaborated with scholars based in United States. Frequent co-authors include Bonnie J. Dorr, Richard Schwartz, John Makhoul, Linnea Micciulla, Nitin Madnani, Michael R. Brent, Richard Schwartz, Gaja Jarosz, Heng Ji and John Hale. Their work appears in journals such as Machine Translation, Theory and applications of categories, Meeting of the Association for Computational Linguistics, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Open Scholarship Institutional Repository (Washington University in St. Louis).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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