Language Asset Management (Extracted Data List)

What is a language asset?

There are two types of language assets in this system: “TM (translation memory)” and “Glossary”. In both cases, as a general rule, the source and translation pair (TU = Translation Unit) is counted as one line. You can register (import) your language assets in the following three ways. For details, please see the section below for details. The registered language assets can be used in Quick PE and LAC (Custom MT Model Management) of this system.

• (1) Import the language data (files) that you have locally.
• (2) Extract language data from available texts on the Internet (or files you have locally) by leveraging AI, and import the aligned data.
• (3) Import the stockdata provided in this system.
  
  

Information in Extracted Data List screen

This screen displays a list of the extracted data registered in the organization. The extracted data in this system is the language data extracted from the website you specify (or from files at your provide) leveraging AI technology. On this screen, you can also search for the extracted data by specifying conditions. To extract new data, click [+ Register] at the top of the screen.

• Search conditions area
  
  • Extraction From: "Web site" or "File"
  • Name
  • Registration Started Date
  • URL/File Name
  • Status
  • [Align] button: Click the button when you select two or more extracted data items from the list. Please refer to the following section for details on the alignment process.

• Extracted data list
  • Name: The name of the extracted data assigned at the time of extraction. Click to display Extracted Data Details screen.
  • URL/File Name: The URL (for "Web site") or file name (for "File") to be extracted
  • All pages in site: "O" is displayed when [Includes all pages in the Web site] is enabled during extraction.
  • Language: Language specified during the extraction
  • Status: One of the following is displayed. Only the extracted data of "Extraction Complete" can be selected for the alignment process.
    
    • Waiting for Processing: The extraction process has not started yet.
    • Extracting: The extraction process is in progress.
    • Extraction Complete: The extraction process is completed and the alignment process can be executed.
    • Extraction Error: The extraction process has started, but has failed for some reason.
    • Deletion Error: The deletion process has started, but has failed for some reason.
  • Data Volume
  • Align: Select two or more extracted data items for which "Source Language" and "Target Language" are specified, then click [Action] button and next [Align Selected Items] menu to perform the alignment process.
  • [Show] button: You can check all the lines of the text contained in the extracted data. You cannot edit or delete them.

What is the alignment process?

To register the extracted data as a language asset, create a TM by performing the alignment of the data (source and translation) specified for the source language and the target language. Click [Action] button and next [Align Selected Items] menu, then the dialog box will be displayed and the criterion can be set. Refer to the section [LeftoverTM and the criterion] described later, then select [Execute Alignment] button.

LeftoverTM and the criterion

When you register a TM as a language asset, you need to specify "Leftover criterion" for adopting TUs as a language asset from the extracted data. In this system, data that does not meet this criterion is noise (mistranslation or correspondence deviation), and that is not suitable for TM as it is, then not adopted for TM. Therefore it will be treated as “Leftover”. “LeftoverTM” is a TM that collects only noise.

Depending on the data in the extracted data, LeftoverTM, which collects only data that does not meet the criterion, is registered separately in addition to the main TM that collects only the data that satisfies the criterion ("(LeftoverTM)" is automatically appended to the end of the registered language asset name). Please refer to the following to specify the criterion for adopting.

• Strict (less noise): Since it is determined by a tight criterion, less data (number of TUs) is adopted, but noise is also reduced. Specify this if you want to create a high-quality TM from the extracted data that contains a lot of noise.
• Recommended: This is the default value. Please specify if it does not correspond to either “Strict” or “Loose”.
• Loose (more noise): Since it is determined by a loose criterion, more data (number of TUs) is adopted, but the noise also increases accordingly. Please specify this if you want to adopt the data in the extracted data as much as possible into the TM.