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Found 22 translations.
| Name | Current message text |
|---|---|
| h Arabic (ar) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h ar-EG (ar-EG) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h German (de) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h Greek (el) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h English (en) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h en-GB (en-GB) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h en-PT (en-PT) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h es-ES (es-ES) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h Finnish (fi) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h French (fr) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h Italian (it) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h Korean (ko) | 이와 같은 줄을 올바르게 처리하기 위해, 모든 가능한 관사에 맞는 여러 개의 트리거를 생성할 수도 있지만, 이는 매우 번거로울 수 있습니다. 대신에 모든 이러한 단어와 구를 걸러내는 하나의 정규식을 만듭니다: |
| h Dutch (nl) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h Polish (pl) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h pt-BR (pt-BR) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h pt-PT (pt-PT) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h Russian (ru) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h sv-SE (sv-SE) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h Turkish (tr) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h yd (yd) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h zh-CN (zh-CN) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |
| h zh-TW (zh-TW) | To correctly handle lines like this, we could either create multiple triggers matching every possible article, which could become very cumbersome. Instead we make one regular expression filtering out all these words and phrases: |