When consulting content in Offline mode, users have access to the same interface languages and content languages as when online. Language support is also the same when using facets to filter content, whether the user is online or offline.
However, when using the offline text search mechanism, Fluid Topics supports languages as defined in the following table:
| Language name | Tokenization | Stemming | Stop-word filling |
|---|---|---|---|
| Danish | ✓ | ✓ | ✓ |
| Dutch | ✓ | ✓ | ✓ |
| English | ✓ | ✓ | ✓ |
| Finnish | ✓ | ✓ | |
| French | ✓ | ✓ | ✓ |
| German | ✓ | ✓ | ✓ |
| Hungarian | ✓ | ✓ | ✓ |
| Italian | ✓ | ✓ | ✓ |
| Japanese | ✓ | ||
| Norwegian | ✓ | ✓ | |
| Portuguese | ✓ | ✓ | ✓ |
| Romanian | ✓ | ✓ | ✓ |
| Russian | ✓ | ✓ | ✓ |
| Spanish | ✓ | ✓ | ✓ |
| Swedish | ✓ | ✓ | ✓ |
| Turkish | ✓ | ✓ | |
| Space-separated languages | ✓ |
Where:
-
Tokenization is the process of splitting a sentence into words that can be searched for independently. If this column does not have an
✓for a language, then users cannot search for text within content written in this language. -
Stemming is the process of reducing words to their stem / root so that searching for a conjugated verb, a plural noun, an adverb form of an adjective, etc. will also match all derivatives of the base word.
-
Stop-word filtering consists in ignoring common words that are not meaningful and that would generate too many uninteresting results. In English, the offline search mechanism ignores words such as
the,is,at,which, andon.