Terminology

LILT provides a range of tools for project managers, translators, and reviewers to efficiently manage terminology. The tools and functions of LILT Verify encourage translators and reviewers to adhere to terminology standards for a given project. Terminology refers to terms (words or phrases) that have pre-defined translations. In LILT, terminology is held inside the Data Source as Termbase (TB) entries, where each TB entry contains a source term and a target term.

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Terminology in LILT Verify

When a document is opened in LILT Verify, LILT automatically searches the associated Data Source for matching TB entries that are marked as reviewed. When a match is found, the term is highlighted in the following places:

1. Source text: Source terms are highlighted in orange if the corresponding target term is not already in the target text area. If the term is in the target text area, the source term is highlighted in green.
2. Translation suggestions: The Contextual AI Engine displays terminology suggestions in orange.

Once the term has been used, the word is highlighted in green in the source and target text. If there are overlapping term entries (e.g. for “Ancient Greece” and “Greece”), only the longest term is highlighted in the source text and displayed in the tooltip. In the Segment Context sidebar, each approved target term is now shown as a separate match with its own metadata (up to the 4 most recent). The Segment Context sidebar also displays term metadata about who approved the term and the approval date.

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Multiple target terms

A source term can have more than one approved target term — for example, when the right translation depends on context. When this happens, the Segment Context sidebar shows each target term as a separate match, with its own metadata, so you can choose the right one for the segment.

• Up to the 4 most recent distinct target terms are shown for each source term.
• If the same source and target pair appears more than once in the termbase, it’s shown once, using the metadata from the most recent entry.
• AI QA and terminology checks treat any of these target terms as correct. Using an approved alternative won’t be flagged as an error.
• AI Review uses the most recent target term.

If your termbase has many duplicate or conflicting entries, we recommend cleaning them up or adding metadata (such as a definition or usage note) so experts can tell the options apart.

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Case sensitivity for TB matching

The case sensitivity of TB matching is set in the Settings page of each Data Source. By default, newly created Data Source have the Case-sensitive matching option enabled. As an example, let’s see what would happen if we are use an English to GermanData Source with only one TB entry: bananas > bananen We’ll also add a document with the following segment into a Project that utilizes this Data Source: Bananas come in different sizes and colors, but all bananas grow in clusters. If the Case-sensitive matching option is disabled, LILT ignores differences in case when finding matches. In LILT Verify, we will see that both “Bananas” and “bananas” are found to have TB matches. If the Case-sensitive matching option is enabled, LILT obeys differences in case when finding matches. In LILT Verify, we see that only “bananas” is found to have a TB match.

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Searching existing terminology

You can search for terminology in the Segment Context sidebar. If you are searching for an item which has multiple variations within the Termbase, several options may appear in the target list. Depending on how thorough the Termbase is that was uploaded into the Data Source, this functionality assists in selecting the best possible translation for the source content you are translating.

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Adding new terminology

Translators and reviewers can manually add new terminology to the Termbase for future reference. When operating in teams, this can be an especially powerful tool to help maintain consistency across the team. TB entries can be added by opening the Segment context sidebar and clicking the Add entry button (Windows shortcut: Alt+A; Mac shortcut: Option+A) to open the Add new entry form. Adding new terminology from the sidebar The Add new entry form has the following fields to fill in:

• Source text
• Target text

Approval status (managers and reviewers only): Draft, reviewed, unreviewed. Note: when translators add an entry, the approval status will be set to unreviewed. Entries must be in the reviewed state for them to be displayed in LILT Verify.

• Custom fields: Custom fields allow metadata to be added.

In addition, the following fields are automatically filled in (based on the segment in focus) and cannot be changed:

• Segment source
• Segment target

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Reviewing and approving new terms

Managers and reviewers who open a document in Review mode have the ability to approve new terms from directly within the LILT Verify. Note: Reviewers must be assigned to the document to be able to open the document are review the relevant added terms. In Review mode, you will see an unreviewed terms indicator (matching the number of terms to review) on the segment links sidebar icon. Click the segment links icon, then review each term to either approve the term to move it to the reviewed state, or ignore the term to leave it in the unreviewed state. **Note: **Entries must be in the reviewed state for them to be displayed in LILT Verify.

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Terminology metadata

Click on any TB match in the sidebar (either the info icon or on the term directly) to see any metadata attached to the term. When a source term has multiple target terms, each one shows its own metadata.

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Source highlighting tool

The source highlighting tool functions as a way to quickly access the terminology tools. Using the mouse, highlight the source text you’re interested, then right-click on the text to open the tool options:

• Copy to target: Copies the highlighted source words into the target text field.
• Lookup in Segment context: Opens the Segment Context sidebar, puts the selected source text into the search field, and searches for the text.
• Lookup in Concordance: Opens the Concordance sidebar, puts the selected source text into the search field, and searches for the text.

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Terminology and Contextual AI

LILT Contextual AI is aware of the terminology and will in most cases reproduce the correct target term, sometimes in inflected form to match the grammatical structure of the target language sentence. In some cases it may choose to omit the term, e.g. if the uploaded translation memories contain examples that do not use the term.

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Maximum Character in Terminology Entries

Term base entries of 60 characters or less will be recognized in the CAT editor. Entries over 60 characters will not be recognized in the editor.