Language Custom tags and Usage

All words and sentences in the Workcube interface work with a dictionary. Dictionary doesn't just make the interface dynamic. It also creates a multilingual and global structure. The words/sentences are first saved in the dictionary. Then, all the words in the interface are called directly from the cache memory with language customtags, ensuring performance. There are dictionaries that officially support 8 different languages in the Workcube library. Institutions wishing to create their own dictionaries can additionally create their own dictionaries. They can create their own language or jargon by customizing a word or phrase. Workcube offers a different language option for each user, depending on the language set selected by the users in their personal settings. Users can switch from one language to a different language interface at any time.

How to use?

Language custom tags are written directly in the html interface as a word and sentence.

Language Custom Tags and Usage Patterns

The number 43974 comes from the DICTIONARY_ID column in the SETUP_LANGUAGE_TR table in the database. The part after the dot "Word in Dictionary-Sentence" is written as an explanation. When examining the code, this annotation shows the dictionary equivalent directly on the code. This tag is the tag that comes after Workcube 19 and higher versions. This tag is used in new scripts or when modernizing old code.

Language Tags Used in Versions Earlier than 19 Workcube will continue to support these tags until December 2022. It is not recommended to use the following tags in new spellings or improvements.

The number 1991 comes from the ITEM_ID column in the SETUP_LANGUAGE_TR table in the database.

The number 1882 comes from the column with ITEM_ID=1882 and MODULE_ID="main" in the SETUP_LANGUAGE_TR table in the database.

The number 140 comes from the MODULE_ID='main' and ITEM_ID="140" column in the SETUP_LANGUAGE_TR table in the database.

Attention!

When you want to add a word sentence to the interface, first check whether the same word exists in the dictionary. If the word you are looking for is in the dictionary, what you need to do is to take the DICTIONARY_ID of the word and use it.