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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 302,053 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.

How many citations does Natural Language Processing Techniques have?

ScholarIQcitation count

Natural Language Processing Techniques has 3,070,544 citations in the OpenAlex counts ScholarIQ stores.

What is the OpenAlex record for Natural Language Processing Techniques?

ScholarIQopenalex

The OpenAlex for Natural Language Processing Techniques is on the source record.

Who are the most-cited researchers behind Natural Language Processing Techniques?

ScholarIQtop researchers by citations
1
Yoshua Bengio · Neural Networks and Applications
1,290 works476,190 citations
2
Geoffrey E. Hinton · Neural Networks and Applications
385 works451,920 citations
3
Steven L. Salzberg · Genomics and Phylogenetic Studies
599 works374,640 citations
4
Matthias Mann · Advanced Proteomics Techniques and Applications
1,456 works305,659 citations
5
Andrew Zisserman · Advanced Image and Video Retrieval Techniques
949 works259,063 citations

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

ScholarIQvenues & funding sources

TOP JOURNALS

No journal data available yet.

TOP FUNDERS

National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
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Who collaborates most closely around Natural Language Processing Techniques?

ScholarIQco-authorship network

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