Linguistically Motivated Evaluation of English-Latvian Statistical Machine Translation
Skadi ncedil a Inguna, Lev amacr ne-Petrova Krist imacr ne, Rābante Guna · Frontiers in artificial intelligence and applications · 2012
Statistical machine translation (SMT) is a hot research topic not only for languages with large quantities of parallel language resources available, but also for under-resourced languages, including languages of Baltic countries. Evaluation of SMT systems in Baltic countries is mostly done by using automatic metrics. In this paper we present a linguistic analysis for the output of an English-Latvian SMT system. The main purpose of this study was to obtain a clear understanding of main pitfalls for the current state-of-art SMT systems, classify the main types of errors and analyze possible reasons of these errors.