Matt Post
Impact in
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech Recognition and Synthesis
- Speech and dialogue systems
- Semantic Web and Ontologies
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- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 75
- Topic Modeling 67
- Text Readability and Simplification 21
- Speech Recognition and Synthesis 11
- Semantic Web and Ontologies 8
- Speech and dialogue systems 6
- Algorithms and Data Compression 5
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- Multimodal Machine Learning Applications 9
- Co-authors
- Philipp Koehn (15 shared papers)Chris Callison-Burch (13 shared papers)Christian Federmann (8 shared papers)Christof Monz (7 shared papers)Barry Haddow (8 shared papers)Ondřej Bojar (8 shared papers)Lucia Specia (8 shared papers)Keisuke Sakaguchi (5 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (3 papers)Synthesis lectures on human language technologies (2 papers)Language Resources and Evaluation (2 papers)Language and Speech (1 paper)Communications in computer and information science (1 paper)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Matt Post
79 papers receiving 2.8k citations
Matt Post's Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 2.9k
- Computer Vision and Pattern Recognition 608
- Information Systems 221
- Computer Science Applications 53
- Language and Linguistics 94
Countries citing papers authored by Matt Post
This map shows the geographic impact of Matt Post'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 Matt Post with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matt Post more than expected).
Fields of papers citing papers by Matt Post
This network shows the impact of papers produced by Matt Post. 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 Matt Post. The network helps show where Matt Post may publish in the future.
Co-authors
The 25 scholars most cited alongside Matt Post, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Findings of the 2016 Conference on Machine Translation Hit paper breakdown → | 2016 | 399 |
| 2 | Findings of the 2014 Workshop on Statistical Machine Translation Hit paper breakdown → | 2014 | 389 |
| 3 | Findings of the 2019 Conference on Machine Translation (WMT19) Hit paper breakdown → | 2019 | 309 |
| 4 | Findings of the 2013 Workshop on Statistical Machine Translation | 2013 | 198 |
| 5 | 2015 | 190 | |
| 6 | 2015 | 106 | |
| 7 | 2020 | 104 | |
| 8 | Constructing parallel corpora for six indian languages via crowdsourcing | 2012 | 86 |
| 9 | 2019 | 77 | |
| 10 | 2014 | 75 | |
| 11 | Stylometric Analysis of Scientific Articles | 2012 | 72 |
| 12 | Improved Speech-to-Text Translation with the Fisher and Callhome Spanish–English Speech Translation Corpus | 2013 | 71 |
| 13 | 2019 | 58 | |
| 14 | 2016 | 55 | |
| 15 | 2017 | 49 | |
| 16 | 2009 | 48 | |
| 17 | Explicit and Implicit Syntactic Features for Text Classification | 2013 | 45 |
| 18 | 2014 | 44 | |
| 19 | 2019 | 37 | |
| 20 | The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration | 2020 | 36 |
About Matt Post
Matt Post is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Language and Linguistics, Signal Processing and Information Systems, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (75 papers), Topic Modeling (67 papers), Text Readability and Simplification (21 papers), Speech Recognition and Synthesis (11 papers), Multimodal Machine Learning Applications (9 papers), Semantic Web and Ontologies (8 papers), Speech and dialogue systems (6 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Artificial Intelligence (2.9k citations), Computer Vision and Pattern Recognition (608 citations), Information Systems (221 citations), Computer Science Applications (53 citations) and Language and Linguistics (94 citations). Matt Post has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Philipp Koehn, Chris Callison-Burch, Christian Federmann, Christof Monz, Barry Haddow, Ondřej Bojar, Lucia Specia, Keisuke Sakaguchi, Benjamin Van Durme and Radu Soricut. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Synthesis lectures on human language technologies, Language Resources and Evaluation, Language and Speech and Communications in computer and information science.
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.