Evaluating Contextualized Language Models for Hungarian

We present an extended comparison of contextualized language models for Hungarian. We compare huBERT, a Hungarian model against 4 multilingual models including the multilingual BERT model... (read more)

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Methods used in the Paper


METHOD TYPE
Linear Warmup With Linear Decay
Learning Rate Schedules
Softmax
Output Functions
Adam
Stochastic Optimization
Multi-Head Attention
Attention Modules
Residual Connection
Skip Connections
Dropout
Regularization
WordPiece
Subword Segmentation
Attention Dropout
Regularization
GELU
Activation Functions
Weight Decay
Regularization
Layer Normalization
Normalization
Scaled Dot-Product Attention
Attention Mechanisms
Dense Connections
Feedforward Networks
BERT
Language Models