Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?

Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search

In this paper, we introduce a hybrid search for attention-based neural machine translation (NMT). A target phrase learned with statistical MT models extends a hypothesis in the NMT beam search when the attention of the N…

Connecting Phrase based Statistical Machine Translation Adaptation

Although more additional corpora are now available for Statistical Machine Translation (SMT), only the ones which belong to the same or similar domains with the original corpus can indeed enhance SMT performance directly…

A Hybrid Approach For Hindi-English Machine Translation

In this paper, an extended combined approach of phrase based statistical machine translation (SMT), example based MT (EBMT) and rule based MT (RBMT) is proposed to develop a novel hybrid data driven MT system capable of …

Statistical Machine Translation Improvement based on Phrase Selection

Malware Classification Leveraging NLP & Machine Learning for Enhanced Accuracy

This paper investigates the application of natural language processing (NLP)-based n-gram analysis and machine learning techniques to enhance malware classification. We explore how NLP can be used to extract and analyze …