ScholarIQanswers from OpenAlex
Natural Language Processing Techniques
TopicLeading institutions, researchers & key papers
Natural Language Processing Techniques is a topic indexed in ScholarIQ from OpenAlex.
What is known about Natural Language Processing Techniques?
ScholarIQrecord summary
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.
How many works does Natural Language Processing Techniques have?
ScholarIQindexed works
Natural Language Processing Techniques has 159 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
What is the OpenAlex record for Natural Language Processing Techniques?
ScholarIQopenalex
The OpenAlex for Natural Language Processing Techniques is on the source record.
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
Statistical Dependency Analysis with Support Vector Machines
Hiroyasu Yamada, Yūji Matsumoto
Chunking with support vector machines
Taku Kudo, Yūji Matsumoto
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
Mihai Surdeanu, Richard Johansson, Adam Meyers, Lluı́s Màrquez, Joakim Nivre
Japanese dependency analysis using cascaded chunking
Taku Kudo, Yūji Matsumoto
Where is Natural Language Processing Techniques research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
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