1. Background Introduction With the rapid development of natural language processing technology, machine translation has become an important research field. In recent years, large model-based language models have made significant progress in machine translation tasks. These large models usually have hundreds of millions or even hundreds of billions of parameters, enabling them to better understand … Read more
This article is based on an interview with RWS Senior Solutions Architect Miklós Urbán. 1. Automatic Evaluation Metrics for Machine Translation Quality “ Evaluating the quality of machine translation is crucial for improving machine translation quality. However, what are the best metrics for measuring the quality of machine translation (MT)? There are two types of … Read more
Selected from arXiv Authors: Guillaume Lample et al. Translation by Machine Heart Contributors: Zhang Qian, Lu Recently, researchers from FAIR proposed two variants of machine translation models, one being a neural model and the other based on phrases. The researchers combined two recently proposed unsupervised methods, simplifying the structure and loss functions, resulting in a … Read more