Creating an ontology and populating it with data are both labor-intensive tasks requiring a high degree of expertise. Thus, scaling ontology creation and population to the size of ...
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...
We describe how to express homomorphic translations with an object-oriented design. This includes a uniform approach to the addition of external functionality to data structures. ...
In this paper, we present methods of translating transactions from object-oriented database(OODB) to relational database(RDB). The process involves schema mapping in data definiti...
This article describes a machine translation system based on an automatic post-editing strategy: initially translate the input text into the target-language using a rule-based MT ...