Abstract
We present a project on machine translation of software help desk tickets, a highly
technical text domain. The main source of
translation errors were out-of-vocabulary
tokens (OOVs), most of which were either
in-domain German compounds or technical token sequences that must be preserved
verbatim in the output. We describe our efforts on compound splitting and treatment
of non-translatable tokens, which lead to a
significant translation quality gain.
| Original language | English |
|---|---|
| Title of host publication | The Seventeenth Annual Conference of the European Association for Machine Translation (EAMT2014) |
| Pages | 159-162 |
| Number of pages | 4 |
| Publication status | Published - 2014 |
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