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Effect of tokenization granularity for Turkish large language models
Yiğit Bekir Kaya
*
,
A. Cüneyd Tantuğ
*
Corresponding author for this work
Department of Artificial Intelligence and Data Engineering
Istanbul Technical University
Research output
:
Contribution to journal
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Article
›
peer-review
6
Citations (Scopus)
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Dive into the research topics of 'Effect of tokenization granularity for Turkish large language models'. Together they form a unique fingerprint.
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Computer Science
Sentiment Analysis
100%
Granularity
100%
Bidirectional Encoder Representations From Transformers
100%
Large Language Model
100%
Machine Translation
50%
Named Entity Recognition
50%
Preprocessing Step
50%
Art Performance
50%
Related Factor
50%
Language Modeling
50%
Benchmark Task
50%
Optimized Version
50%
Keyphrases
Granularity
100%
Large Language Models
100%
Tokenization
100%
Vocabulary Size
80%
Sentiment Analysis
40%
Token
40%
Complex Morphology
20%
Machine Translation
20%
Performance Improvement
20%
Preprocessing Techniques
20%
Named Entity Recognition
20%
Attention-based
20%
Art Performance
20%
Downstream Task
20%
Question Answering
20%
Self-attention
20%
BERT Model
20%
Contextual Words
20%
Benchmark Tasks
20%
Morphological Tagging
20%
Transformer-based Language Models
20%
Word Vector Representation
20%