This study aims to compare the effectiveness of two popular machine translation systems (Google Translate and Babylon machine translation system) used to translate English sentences into Arabic relative to the effectiveness of English to Arabic human translation. There are many automatic methods used to evaluate different machine translators, one of these methods; Bilingual Evaluation Understud...

The present research analyses the performance of two free open-source neural machine translation (NMT) systems —Google Translate and DeepL— in (ES>EN) somatisms such as tomar el pelo meter la pata, their nominal variants (tomadura/tomada de metedura/metida pata), other lower-frequency pata hasta corvejón, gamba gamba. outcomes will be contrasted classified depending on whether these idioms a...

Motivation of the language technology company Tilde is to improve quality of machine translation for lesser resourced languages such as the languages of Baltic countries. Generic MT solutions like Google Translate perform poorly for these complex languages. To compensate the shortage of training data and to deal with rich morphology we are applying different approaches in combining statistical ...

This paper reports results of Chinese – Japanese CLIR experiments using on-line query translation techniques. Approaches to employ English as a pivot language and to utilize several on-line translation systems are introduced. They were tested on NTCIR – 3, 4, 5, and 6 collections. Proposed procedures can be helpful under certain circumstances. 1 On-line translation techniques We worked with dif...

Convolutional Neural Networks (CNNs) are extremely efficient, since they exploit the inherent translation-invariance of natural images. However, translation is just one of a myriad of useful spatial transformations. Can the same efficiency be attained when considering other spatial invariances? Such generalized convolutions have been considered in the past, but at a high computational cost. We ...

This study is focused on the comparison of phrase-based statistical machine translation (SMT) systems and neural (NMT) using automatic metrics for quality evaluation language pair English Slovak. As approach predecessor translation, it was assumed that network would generate results with a better quality. An experiment performed residuals to compare scores accuracy (BLEU_n) those translation. T...

Legal translation is a type of translation for legal terms and documents from a source language (SL) into a target language (TL). Moreover, it is also a translation from one legal system into another. It involves all the legal texts that are used in different legal settings; in courts, legal reports, contracts, etc. This paper aimed at examining the translatability of Google Translation (GT) fo...

This article aims to investigate and evaluate the translation of verb-noun collocation in English into Arabic Google and Bing online translation engines. A number of sentences were used as a testing dataset to evaluate both engines. Human translations by three bilingual speakers were used as a gold standard. A simple evaluation metric was proposed to calculate the translation accuracy of verb-n...