David Yarowsky
- Artificial Intelligence top 0.05%
- Natural Language Processing Techniques 93
- Topic Modeling 83
- Speech and dialogue systems 24
- Authorship Attribution and Profiling 13
- Text Readability and Simplification 10
- Speech Recognition and Synthesis 9
- Semantic Web and Ontologies 8
- Information Systems top 0.5%
- Language and Linguistics top 2%
- Lexicography and Language Studies 7
- Co-authors
- Kenneth ChurchWilliam A. GaleGrace NgaiRichard WicentowskiGideon MannSilviu CucerzanDelip RaoManaswi Gupta
- Journals
- Language Resources and Evaluation (11 papers)Natural Language Engineering (3 papers)Computational Linguistics (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
David Yarowsky
111 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Artificial Intelligence 6.6k
- Information Systems 869
- Computer Vision and Pattern Recognition 645
- Language and Linguistics 299
- Management Science and Operations Research 305
Countries citing papers authored by David Yarowsky
This map shows the geographic impact of David Yarowsky'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 David Yarowsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Yarowsky more than expected).
Fields of papers citing papers by David Yarowsky
This network shows the impact of papers produced by David Yarowsky. 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 David Yarowsky. The network helps show where David Yarowsky may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Yarowsky, 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 | Multilingual Dictionary Based Construction of Core Vocabulary. | 2020 | 4 |
| 2 | An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages. | 2020 | 11 |
| 3 | The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration | 2020 | 30 |
| 4 | Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages. | 2020 | 7 |
| 5 | Computational Etymology and Word Emergence | 2020 | 7 |
| 6 | Creating a Translation Matrix of the Bible’s Names Across 591 Languages | 2018 | 7 |
| 7 | Improving Low Resource Machine Translation using Morphological Glosses (Non-archival Extended Abstract) | 2018 | 2 |
| 8 | Massively Translingual Compound Analysis and Translation Discovery. | 2018 | 2 |
| 9 | UniMorph 2.0: Universal Morphology | 2018 | 7 |
| 10 | Creating Large-Scale Multilingual Cognate Tables | 2018 | 7 |
| 11 | Deriving Consensus for Multi-Parallel Corpora: an English Bible Study. | 2017 | 4 |
| 12 | Very-large Scale Parsing and Normalization of Wiktionary Morphological Paradigms | 2016 | 28 |
| 13 | 2015 | 97 | |
| 14 | Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processingbreakdown → | 2013 | 367 |
| 15 | 2009 | 19 | |
| 16 | Arabic Cross-Document Coreference Resolution | 2009 | 0 |
| 17 | The John Hopkins SENSEVAL-2 System Descriptions | 2001 | 1 |
| 18 | Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence. | 1999 | 153 |
| 19 | Three machine learning algorithms for lexical ambiguity resolution | 1996 | 13 |
| 20 | Homograph disambiguation in speech synthesis. | 1994 | 24 |
About David Yarowsky
David Yarowsky is a scholar working on Artificial Intelligence, Language and Linguistics, Health Informatics, Human-Computer Interaction and Cultural Studies, having authored 114 papers that have together received 7.4k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (93 papers), Topic Modeling (83 papers), Speech and dialogue systems (24 papers), Authorship Attribution and Profiling (13 papers), Text Readability and Simplification (10 papers), Speech Recognition and Synthesis (9 papers), Semantic Web and Ontologies (8 papers) and Lexicography and Language Studies (7 papers). The work is most often cited by research in Artificial Intelligence (6.6k citations), Information Systems (869 citations), Computer Vision and Pattern Recognition (645 citations), Language and Linguistics (299 citations) and Management Science and Operations Research (305 citations). David Yarowsky has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Kenneth Church, William A. Gale, Grace Ngai, Richard Wicentowski, Gideon Mann, Silviu Cucerzan, Delip Rao, Manaswi Gupta, Radu Florian and Philip Resnik. Their work appears in journals such as Language Resources and Evaluation, Natural Language Engineering, Computational Linguistics, Journal of Artificial Intelligence Research and Annals of Operations Research.
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.