Uploading TMX (Memory) Files

Uploading memory files to a Data Source allows Lilt to better find translation matches and provide translation suggestions within Lilt Translate. This article walks through uploading memory files to new or existing Data Sources.

Files can only be uploaded to existing Data Sources. If you want to upload a memory file to an empty Data Source, you'll need to first Create a New Translation Memory by clicking the New Data Source button in the upper-right corner of the Data > Sources page.

Once you have located the Data Source you want to upload your memory files to, click the Data Source card or its Edit button to open up the data source management view.

Navigate to the Manage resources page. This page displays all documents that have been uploaded to the Data Source.

To add files to the Data Source, click the Upload files button in the upper-right and select the type of files you want to upload. Selecting one of the dropdown options will bring up a window for you to locate and select the files you want to upload. After the selected files are loaded into Lilt, they will be available to view on the Manage resources page.

TM supported file types: JSON, SDLTM, TBM, TMQ, TMX, TMX.ZIP

TB supported file types: CSV, TBX, TSV, XLSX

File limitations:

Data Source files can contain as many entries as you like, so long as the file adheres to the TM Size limits. In particular, individual files cannot exceed 200 MB. If files exceed this size, zip them and add filename.tmx.zip appendage before uploading. Once uploaded, the file will be parsed into individual, editable entries.
See the Data Source Maintenance Best Practices article for information on how to structure CSV files for uploading Termbases.
Termbase column entries cannot contain more than 10,000 characters. When uploading a file where any column entries are more than 10,000 characters, Lilt will not process the file and will display the following warning:

When importing JSON files as TM entries into Lilt, use the format shown below to ensure your memory entries are properly imported:

[
  {
    "srclang": "es",
    "creationdate": "2019-04-04T11:24:22Z",
    "text": "Introducción[editar]",
    "units": [
      {
        "trglang": "en",
        "text": "Introduction"
      }
    ]
  },
  {
    "srclang": "es",
    "creationdate": "2019-04-04T11:24:22Z",
    "text": "Aumentar",
    "units": [
      {
        "trglang": "en",
        "text": "Increase"
      }
    ]
  }
]

Data Source entry types:

Memory (TM): Choose this option if you want your memory files to be indexed for Concordance, used to train the MT, and used as TM results. The Contextual AI model learns from uploaded data immediately upon upload. Note that deleting documents from a Data Source does not affect the Contextual AI model (i.e. the Contextual AI model does not unlearn the deleted resources). However, there is a recency bias, meaning the most recent documents have a stronger input on the translation output.
Memory (TM, concordance only): Choose this option if you want your memory files to only be indexed for Concordance but not used to train the Contextual AI and not used as TM results.
Termbase (TB): Choose this option if your Termbase document does not have a header and you want all entries to be added to the Termbase entries of the Data Source.
Termbase (TB, with header): Choose this option if your Termbase document has a header at the top of the file that you want to exclude from adding to the Termbase entries of the Data Source.

Metadata: If you load in a file with metadata, Lilt creates and populates custom fields for each TM/TB entry as the file is added to the Data Source. Metadata can be useful for providing context about translations. Metadata fields for each Translation Memory entry can be modified from within Lilt by opening a TM/TB entry for editing. More details on this can be found in the Managing Termbase and Translation Memory Entries article.

When uploading a file with metadata fields, you will be presented with a popup form to map the metadata fields to existing metadata fields or new metadata fields.

Deleting Data Source files

Select the files you want to delete by clicking the checkbox next to the resource name. Alternatively, you can select all files with the Select all button. If any files are selected, this turns into a Deselect button that will deselect all the resources currently selected.
Click the Delete button in the upper-right to bring up a popup to confirm you want to permanently delete the selected resources. Deleting a resource permanently removes all that resource’s TM/TB entries from the Data Source.