Comments (4)
zdou0830
commented on August 20, 2024
你好，直接用multilingual BERT做对齐就能取得蛮好的效果。如果把multilingual BERT在你的数据上微调一下应该会更好。
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leileilin
commented on August 20, 2024
你好，直接用multilingual BERT做对齐就能取得蛮好的效果。如果把multilingual BERT在你的数据上微调一下应该会更好。
非常感谢你的回答。我的本意是想只用一个模型同时可以做中英和英中方向的单词对齐，不知道先用中英方向的数据微调，而后用英中方向的数据微调，这个做法可不可行？还是原来你这边中英方向已经微调好的模型就可以做双向的单词对齐预测？
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zdou0830
commented on August 20, 2024
我们的模型是和方向无关的，中英和英中得到的结果一样。
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leileilin
commented on August 20, 2024
我们的模型是和方向无关的，中英和英中得到的结果一样。
好的，我明白了，非常感谢你的解答。
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Related Issues (20)
- Parallel corpus data format for fine-tuning on parallel data HOT 1
- Continue with checkpoint HOT 2
- How to test fine tuned model on parallel data? HOT 3
- How can I resume training from a checkpoint? HOT 1
- How to get test results? HOT 2
- Extracting dataset and AttributeError HOT 3
- Abort experiment in Table 8 HOT 3
- Statistics between models HOT 1
- Trying to train on an existing model HOT 1
- Trying to train "ixa-ehu/ixambert-base-cased" model HOT 1
- Setting seq-to-seq model as our pretrained model HOT 6
- Alignment prob matrix visualization tool? HOT 2
- Question on Figure 2 in your paper HOT 2
- Is it possible align phrase by phrase, not just word by word? HOT 4
- Is it possible to incorporate POS tag info to aid alignment? HOT 1
- Inputs shoult be tokenized only for training/evaluation sets? HOT 1
- A bug(maybe) HOT 1
- Torch.save() for large training Dataset HOT 1
- Training details HOT 2
- Repeated single-sentence inferences on an in-memory model? HOT 1
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