How can we create synthetic parallel data to train machine translation models for low-resource languages?

Natural Language Processing (NLP) refers to using artificial intelligence techniques to automatically translate text or speech from one natural language to ... Apr 15, 2019 ... Machine translation has recently made significant progress with a shift to neural models and rapid development of new architectures such as the ... In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware ... ... nlp.cs.nyu.edu/GTM/. 1 Introduction. In the early 1990s, the U.S. government sponsored a competition among machine translation (MT) sys- tems. One of the ... Machine Translation is one of the most important applications of Natural Language Processing. Formed in 2002, the Machine Translation Group, ... Tools and resources for open translation services. This repository includes two setups. There are also scripts for training models. Abstract: Machine translation is the process of using computers to convert one natural language into another natural language, shouldering the important ... This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine ... Neural Machine Translation (NMT) systems ... I work on multilingual models, machine translation, speech recognition, and NLP for under-served languages. Machine translation is use of computational techniques to translate text or speech from one language to another, including the contextual, idiomatic and ...