Benjamin Snyder

1.3k citations
26 papers · 835 indexed · h-index 13

Benjamin Snyder

26 papers receiving 735 citations

Peers

Benjamin Snyder
Comparison fields: 5 of 51
  • Artificial Intelligence 790
  • Information Systems 87
  • Computer Vision and Pattern Recognition 48
  • Language and Linguistics 22
  • Communication 14
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Citations per year

Countries citing papers authored by Benjamin Snyder

Since Specialization
Citations

This map shows the geographic impact of Benjamin Snyder'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 Benjamin Snyder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin Snyder more than expected).

Fields of papers citing papers by Benjamin Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin Snyder. 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 Benjamin Snyder. The network helps show where Benjamin Snyder may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Benjamin Snyder, 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 Benjamin Snyder Line = papers co-authored together Benjamin Snyder links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20235
2 20189
3 201412
4
Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion
20136
5
Unsupervised Consonant-Vowel Prediction over Hundreds of Languages
201316
6
Automatically Learning Measures of Child Language Development
20127
7
Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets
20129
8
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
20116
9
Climbing the Tower of Babel: Unsupervised Multilingual Learning
20108
10
A Statistical Model for Lost Language Decipherment
201031
11 200927
12
Cross-lingual propagation for morphological analysis
200820
13
Unsupervised Multilingual Learning for Morphological Segmentation
200898
14 200847
15
Incremental Text Structuring with Online Hierarchical Ranking
200711
16
Multiple Aspect Ranking Using the Good Grief Algorithm
2007188
17
Database-text alignment via structured multilabel classification
200727
18 200513
19
The English all-words task
2004203
20
Extending a Verb-lexicon Using a Semantically Annotated Corpus.
200413

About Benjamin Snyder

Benjamin Snyder is a scholar working on Artificial Intelligence, Computer Science Applications, Management Science and Operations Research, Developmental and Educational Psychology and Communication, having authored 26 papers that have together received 835 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (21 papers), Speech and dialogue systems (8 papers), Speech Recognition and Synthesis (5 papers), Handwritten Text Recognition Techniques (2 papers), Machine Learning and Algorithms (2 papers), Semantic Web and Ontologies (2 papers) and Language Development and Disorders (2 papers). The work is most often cited by research in Artificial Intelligence (790 citations), Information Systems (87 citations), Computer Vision and Pattern Recognition (48 citations), Language and Linguistics (22 citations) and Communication (14 citations). Benjamin Snyder has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Regina Barzilay, Martha Palmer, Tahira Naseem, Jacob Eisenstein, Kevin Knight, Karin Kipper, Young‐Bum Kim, Erdong Chen, Jinying Chen and Ruhi Sarikaya. Their work appears in journals such as Energies, Transactions of the Association for Computational Linguistics, Language Resources and Evaluation, Empirical Methods in Natural Language Processing and North American Chapter of the Association for Computational Linguistics.

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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