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fix DictaBERT-lex characterization

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  1. README.md +2 -1
README.md CHANGED
@@ -49,7 +49,8 @@ lz.lemma("讛诪讟注谞讬诐", "讛讜讗 驻专拽 讗转 讛诪讟注谞讬诐 诪讛诪砖讗讬转.")
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  - Lemma accuracy **92.4%** out-of-domain (94.3% in-domain).
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  - B鲁 consistency leads DictaBERT-lex on both precision and recall
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  (0.965 / 0.953 vs 0.906 / 0.932).
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- - **0.0%** low-overlap errors on unseen words, vs 12.3% for a generative baseline.
 
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  DictaBERT-lex was trained on more data than is used here, including the domains
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  held out for evaluation, so the comparison is conservative.
 
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  - Lemma accuracy **92.4%** out-of-domain (94.3% in-domain).
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  - B鲁 consistency leads DictaBERT-lex on both precision and recall
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  (0.965 / 0.953 vs 0.906 / 0.932).
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+ - **0.0%** low-overlap errors on unseen words, vs 12.3% for DictaBERT-lex (which
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+ predicts each lemma as a single token from its vocabulary).
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  DictaBERT-lex was trained on more data than is used here, including the domains
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  held out for evaluation, so the comparison is conservative.