Stanza
Yue Chinese
Chinese
dependency-parsing
universal-dependencies
cantonese
electra
lora
Eval Results (legacy)
Instructions to use PolyU-AngelChanLab/stanza-yue-hk-electra-large-lora-r8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Stanza
How to use PolyU-AngelChanLab/stanza-yue-hk-electra-large-lora-r8 with Stanza:
import stanza stanza.download("yue-hk-electra-large-lora-r8") nlp = stanza.Pipeline("yue-hk-electra-large-lora-r8") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Cantonese Stanza ELECTRA dependency parser (LoRA r=8)
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This is a **Cantonese-adapted Transformer dependency parser**
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The ELECTRA base Transformer was adapted with LoRA (`r=8`, `alpha=16`, dropout `0.1`), while the Stanza parsing layers were fully fine-tuned. The base Transformer weights were frozen. Mandarin POS and lemma processors were also frozen, and their predictions were cached so that the upstream input condition stayed identical before and after parser adaptation.
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# Cantonese Stanza ELECTRA dependency parser (LoRA r=8)
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This is a **Cantonese-adapted Transformer dependency parser**. We started from Stanza 1.14.0's Mandarin Chinese `zh-hans/gsdsimp_electra-large` dependency checkpoint and performed the adaptation ourselves.
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The ELECTRA base Transformer was adapted with LoRA (`r=8`, `alpha=16`, dropout `0.1`), while the Stanza parsing layers were fully fine-tuned. The base Transformer weights were frozen. Mandarin POS and lemma processors were also frozen, and their predictions were cached so that the upstream input condition stayed identical before and after parser adaptation.
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