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Quantifying Linguistic Variation: Data-driven Navigation of Variety Space
Max Müller-Eberstein
NLPnorth
Research output
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Theses
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PhD thesis
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Dive into the research topics of 'Quantifying Linguistic Variation: Data-driven Navigation of Variety Space'. Together they form a unique fingerprint.
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Keyphrases
Natural Language Processing
100%
Language Model
100%
Linguistic Variation
100%
Variation Data
100%
Language Variation
66%
Cross-domain
33%
Cross-lingual
33%
Training Model
33%
Training Data
33%
Latent Space
33%
Probing Method
33%
High Variability
33%
Data Transfer
33%
Downstream Task
33%
Model Transfer
33%
Task Similarity
33%
Linguistic Information
33%
Unseen
33%
Model Robustness
33%
Language Similarity
33%
Model Trustworthiness
33%
Mutual Intelligibility
33%
Language Domains
33%
Similarity Characteristics
33%
Model Transferability
33%
Vectorized Representation
33%
Task Variation
33%
Human Communication
33%
Mathematics
Data Point
100%
Training Data
100%
Quantitative Measure
100%
Shortfall
100%
Linguistic Information
100%
Computer Science
Natural Language Processing
100%
Language Modeling
100%
Language Understanding
33%
Training Model
33%
Training Data
33%
Language Variety
33%
Stored Information
33%
Domain Register
33%
Social Sciences
Language Modeling
100%
Natural Language Processing
100%