Method to Overcome the Ambiguities in Shallow Parse and Transfer Machine Translation

Year, pages: 2019, 1443 - 1463

The manuscript proposes a new architecture for a Shallow Parsing and Shallow Transfer Rule-Based Machine Translation System. The newly proposed architecture omits the disambiguation module in the starting phases of the translation pipeline and stores all translation candidates generated by the ambiguous process in the morphological analysis phase. The architecture is based on multigraphs. We propose a simplified version of k-best shortest path algorithm for this special case of directed multigraph. The k-best set is ranked using a trigram language model. The empirical evaluation shows that the new architecture produces better translation quality results with constant delay in time.

Vičič, J., Grgurovič, M. 2019. Method to Overcome the Ambiguities in Shallow Parse and Transfer Machine Translation. In Computing and Informatics, vol. 37, no.6, pp. 1443-1463. 1335-9150. DOI: https://doi.org/10.4149/cai_2018_6_1443

Vičič, J., Grgurovič, M. (2019). Method to Overcome the Ambiguities in Shallow Parse and Transfer Machine Translation. Computing and Informatics, 37(6), 1443-1463. 1335-9150. DOI: https://doi.org/10.4149/cai_2018_6_1443

Publisher: Ústav informatiky SAV