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'좋다'의 활용형태는 어미 추출을 통하여 인식할 수 있지만, '조아'는 인식할 수가 없다. '조 + 다'라는 동사를 추가하는 것도 옳지 않은데, 받침이 생략되는 빈번한 규칙을 이용하여, '조아'의 원형태가 '좋아'임을 추정할 수 있어야 한다.
lovit updated
6 years ago
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The workflow for setting up a pipeline component in code sometimes feels a bit rough. This came up while I was investigating #6958.
Let's say we have some pipeline component that assumes its `.init…
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# 英语单词的词形还原（Lemmatization）
## 定义
把单词的各种时态人称单复数的变形转为原形，比如：
- 动词原型 `calls`, `called`, `calling` -> `call`
- 名词单数 `cats` -> cat
- 比较级和最高级 `hardest` -> `hard`
## 可用的库：
pyhton:
- 自然语言工具…
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```
Building a wrapper for the MATE pipeline for processing several documents and
without loading each model for every document, one needs to call the out()
methods of the respective tools (after in…
-
```
Building a wrapper for the MATE pipeline for processing several documents and
without loading each model for every document, one needs to call the out()
methods of the respective tools (after in…
-
```
Building a wrapper for the MATE pipeline for processing several documents and
without loading each model for every document, one needs to call the out()
methods of the respective tools (after in…
-
```
Building a wrapper for the MATE pipeline for processing several documents and
without loading each model for every document, one needs to call the out()
methods of the respective tools (after in…
-
```
Building a wrapper for the MATE pipeline for processing several documents and
without loading each model for every document, one needs to call the out()
methods of the respective tools (after in…
-
```
Building a wrapper for the MATE pipeline for processing several documents and
without loading each model for every document, one needs to call the out()
methods of the respective tools (after in…
-
```
Building a wrapper for the MATE pipeline for processing several documents and
without loading each model for every document, one needs to call the out()
methods of the respective tools (after in…