The outsourced language services market represents a large international industry with established commercial models for data reuse focussed of sentence and term translations. This paper presents emerging meta-data standards and linked data vocabularies that can now be combined to provide process and provenance annotation of such language data as linked data. These solutions serve both to reduce the current high level of interoperability overhead costs experienced across translation value chains as well as offering new opportunities for commercialising more fine-grained reuse of language data in data-driven language technologies such as machine translation and named entity recognition.