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The Department of Computational Linguistics investigates the use of small domain-specific corpora for Statistical Machine Translation (SMT). This research is motivated by our experiences with industry partners who wish to build translation systems for specific application areas, but only have little domain-specific training data at their disposal. We have a small parallel corpus of Alpine texts (5 million tokens) at our disposal: the publications of the Swiss Alpine Club (SAC) were digitized in the project Text+Berg digital, parts of the corpus being parallel (DE-FR). We investigated the combination of the Text+Berg corpus with other resources, for instance additional monolingual, parallel or comparable corpora, or other machine translation systems.
The project was funded by the Swiss National Science Foundation and ran 2010-2013.