增量训练出来的分词模型分词输出是二维的
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- Dominant language
- C++
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Description
In [7]: my_lac.run('福建厦门')
Out[7]: [['福建', '厦门'], ['', '']]
In [8]: lac.run('福建厦门')
Out[8]: ['福建', '厦门']
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Research direction
The report only provides Python examples comparing my_lac.run('福建厦门') with lac.run('福建厦门'); it names no source file, test, or entry point. Start by locating the incremental-training implementation and the run method, then reproduce the shown output and verify that incremental training returns the same one-dimensional segmentation format.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp, python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100