Improving Terminology Translation Accuracy by Combining Knowledge Graphs and Deep Learning Algorithms

Professional terminology is not translated with enough credibility in specialized situations because there is little information available to the domain and very ambiguous semantics. To overcome it, in the given research first a lightweight knowledge graph with respect to a particular domain is built that allows combining term definitions, hierarchical relations, and cross-linguistic alignment data as triples. A knowledge-aware context encoding process is then created which dynamically construct