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Word prediction in computational historical linguistics
Peter Dekker
, Willem Zuidema
Informatics and Applied Informatics
Faculty of Sciences and Bioengineering Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
6
Citations (Scopus)
162
Downloads (Pure)
Overview
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Projects
(2)
Datasets
(1)
Prizes
(1)
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Dive into the research topics of 'Word prediction in computational historical linguistics'. Together they form a unique fingerprint.
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Weight
Alphabetically
Arts & Humanities
Historical Linguistics
85%
Computational
63%
Prediction
58%
Machine Learning
37%
Linguistic Reconstruction
29%
Sound Correspondences
27%
Phylogenetic Tree
26%
Source Language
22%
Natural Language Processing (NLP)
21%
Learning Model
20%
Cognates
20%
Intermediate
16%
Paradigm
13%
Language
7%
Mathematics
Linguistics
79%
Prediction
57%
Machine Learning
39%
Language
25%
Natural Language
22%
Phylogenetic Tree
22%
Paradigm
17%
Sound
16%
Target
15%
Form
14%
Correspondence
14%
Evaluate
14%
Model
5%
Engineering & Materials Science
Computational linguistics
100%
Linguistics
50%
Machine learning
26%
Trees (mathematics)
20%
Acoustic waves
14%
Social Sciences
linguistics
47%
reconstruction
31%
learning
12%
paradigm
11%