Zero-shot LLM grading of L2 speech transcripts with CEFR descriptors beats a fine-tuned BERT baseline and matches a read-aloud-trained speech model on the S&I Corpus.
Our results demon- strate that this approach, relying exclusively on textual informa- tion in a zero-shot setting, achieves competitive performance
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Natural Language-based Assessment of L2 Oral Proficiency using LLMs
Zero-shot LLM grading of L2 speech transcripts with CEFR descriptors beats a fine-tuned BERT baseline and matches a read-aloud-trained speech model on the S&I Corpus.