ABSTRACT: The under-resourced Kikamba language has few language technology tools since the more efficient and popular data driven approaches for developing them suffer from data sparseness due to lack ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

The Department of Justice recently issued guidance encouraging federal agencies to use “artificial intelligence and machine translation to communicate with individuals who are limited English ...

This study compares the quality of English-to-Arabic translations produced by Google Translate (GT) with those generated by student translators. Despite advancements in neural machine translation ...

Abstract: Statistical Machine Translation (SMT) is the mapping between a source language and a target language from parallel corpora which are sets of texts in both languages that are aligned at the ...

1 Department of Languages and Translation, Taiz University, Taiz, Yemen 2 Department of Languages and Translation, Taibah University, Madina, Saudi Arabia Introduction: Post-editing plays a crucial ...

Machine Translation (MT) has emerged as a critical component of Natural Language Processing, facilitating automatic text conversion between languages to support global communication. While Neural ...

Vasco Pedro had always believed that, despite the rise of artificial intelligence (AI), getting machines to translate languages as well as professional translators do would always need a human in the ...

Abstract: The advances in Neural Machine Translation (NMT) systems have cast a shadow over Machine Translation (MT), which was previously dominated by Rule-based Machine Translation (RBMT) and ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...