Matt Post
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques 61
- Topic Modeling 54
- Text Readability and Simplification 16
- Speech Recognition and Synthesis 9
- Speech and dialogue systems 5
- Semantic Web and Ontologies 5
- Algorithms and Data Compression 5
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- Multimodal Machine Learning Applications 7
- Computer Science Applications top 10%
- Information Systems top 5%
- Language and Linguistics top 5%
- Co-authors
- Philipp KoehnChris Callison-BurchChristof MonzOndřej BojarBarry HaddowChristian FedermannLucia SpeciaKeisuke Sakaguchi
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Transactions of the Association for Computational Linguistics (2 papers)Language Resources and Evaluation (2 papers)Language and Speech (1 paper)
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Matt Post
65 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Artificial Intelligence 1.9k
- Computer Vision and Pattern Recognition 361
- Computer Science Applications 46
- Information Systems 132
- Language and Linguistics 60
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | Benchmarking Neural and Statistical Machine Translation on Low-Resource African Languages | 2020 | 12 |
| 7 | The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration | 2020 | 30 |
| 8 | Findings of the 2019 Conference on Machine Translation (WMT19)breakdown → | 2019 | 256 |
| 9 | 2017 | 7 | |
| 10 | Neural Lattice Search for Domain Adaptation in Machine Translation | 2017 | 17 |
| 11 | Automatic Construction of Morphologically Motivated Translation Models for Highly Inflected, Low-Resource Languages. | 2016 | 2 |
| 12 | 2016 | 7 | |
| 13 | 2015 | 100 | |
| 14 | 2014 | 335 | |
| 15 | Findings of the 2013 Workshop on Statistical Machine Translation | 2013 | 179 |
| 16 | Proceedings of the Eighth Workshop on Statistical Machine Translation | 2013 | 6 |
| 17 | Joshua 5.0: Sparser, Better, Faster, Server | 2013 | 16 |
| 18 | Proceedings of the Seventh Workshop on Statistical Machine Translation | 2012 | 30 |
| 19 | Factors Affecting the Accuracy of Korean Parsing | 2010 | 15 |
| 20 | Parsers as language models for statistical machine translation | 2008 | 18 |
About Matt Post
Matt Post is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Software, Language and Linguistics and Signal Processing, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (61 papers), Topic Modeling (54 papers), Text Readability and Simplification (16 papers), Speech Recognition and Synthesis (9 papers), Multimodal Machine Learning Applications (7 papers), Speech and dialogue systems (5 papers), Semantic Web and Ontologies (5 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computer Vision and Pattern Recognition (361 citations), Computer Science Applications (46 citations), Information Systems (132 citations) and Language and Linguistics (60 citations). Matt Post has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Philipp Koehn, Chris Callison-Burch, Christof Monz, Ondřej Bojar, Barry Haddow, Christian Federmann, Lucia Specia, Keisuke Sakaguchi, Radu Soricut and Benjamin Van Durme. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Language Resources and Evaluation, Language and Speech, SHILAP Revista de lepidopterología and Workshop on Statistical Machine Translation.
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.