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Natural Language Processing Techniques

TopicLeading institutions, researchers & key papers

This cluster of papers focuses on statistical machine translation, neural machine translation, dependency parsing, word sense disambiguation, and part-of-speech tagging. It also covers topics such as corpus linguistics, syntax-based translation models, multilingual neural machine translation, and language modeling.

159
Works

How has Natural Language Processing Techniques's publication output changed over time?

ScholarIQpublication output · 2001–2022

Output grew0% over the shown period — from 1 works in 2001 to 1 in 2022.

1
1
1
1
3
1
1
1
2
1
2001200220032004200720082009201520172022

What are the most-cited papers on Natural Language Processing Techniques?

ScholarIQmost cited works
Applying Conditional Random Fields to Japanese Morphological Analysis
Taku Kudo, Kaoru Yamamoto, Yūji Matsumoto
2004723 Citations
Statistical Dependency Analysis with Support Vector Machines
Hiroyasu Yamada, Yūji Matsumoto
2003605 Citations
Chunking with support vector machines
Taku Kudo, Yūji Matsumoto
2001533 Citations
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluı́s Màrquez, Joakim Nivre
2008503 CitationsOPEN ACCESS
Japanese dependency analysis using cascaded chunking
Taku Kudo, Yūji Matsumoto
2002481 Citations

Where is Natural Language Processing Techniques research published, and who funds it?

ScholarIQvenues & funding sources

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Natural Language Processing Techniques is open access?

ScholarIQopen access share
67%OPEN ACCESS
Gold
33%
Green
27%
Hybrid
0%
Bronze
7%
Closed
33%

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