Machine Translation Integration
Summary
The Across Language Server combines all three approaches – human translator, translation memory (TM), and machine translation (MT) – in an integrated solution. For example
- Every text segment is initially compared with the translation memory,
- If no matches are found there, a machine translation for this text segment is inserted.
- Subsequently, the remaining workflow steps are processed, i.e. post-processing by a translator, separate revision, and release.
In contrast to translation memory from Across, machine translation technologies (MTs) translate automatically. Essentially, there are two different approaches for this, namely:
- Statistical MT as a "learning technology" that must be "trained" in the respective language pair with parallel corpora.
- Rule-based MT that includes the grammar of the language in question in algorithms and it combines this with appropriate lexica.

Machine translation (MT) is currently experiencing a renaissance, even if it cannot yet be used to produce print-ready results. As an integrated process step within a translation workflow, MT can - depending on the type of text, language direction, and quality requirements - also make sense in the professional environment.
Basically, the optional MT interface of Across can be used to connect any external MT system. The text segments are forwarded to the MT on the basis of defined criteria, and the target-language segment delivered by the MT is inserted in the (pre-)translation with the respective state. Thus, for example, text segments that are not found in the translation memory can be pre-translated automatically and post-processed by a professional translator.
Across users can thereby take advantage of all available technologies and are not bound to individual MT suppliers. For many MT systems, incorporation into Across v5 SP1 is already prepared completely; these include the products of Asia Online and Lucy Software.
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