Google as one of the symbols of digital revolution has been influencing the world of searching from different aspects. Moreover, its place as a tool for information retrieval and research, and as a research topic for end-users and researchers is well known. As a result of Google’s pioneership in providing and changing, or to be precise, optimizing its services, it is being utilized by various i...

Translation is the activity producing a source language message with closest and natural equivalent to recipient's language, both in terms of meaning style. The translation process requires grammatical lexical adjustments evade unusual structures language. activities are not only done by humans. With advancement technology, electronic tools have emerged such as Google Translate translate parts ...

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...

Named entity translation is indispensable in cross language information retrieval nowadays. We propose an approach of combining lexical information, web statistics, and inverse search based on Google to backward translate a Chinese named entity (NE) into English. Our system achieves a high Top-1 accuracy of 87.6%, which is a relatively good performance reported in this area until present.

BACKGROUND Google Translate offers free Web-based translation, but it is unknown whether its translation accuracy is sufficient to use in systematic reviews to mitigate concerns about language bias. METHODS We compared data extraction from non-English language studies with extraction from translations by Google Translate of 10 studies in each of five languages (Chinese, French, German, Japane...

The number of Free Online Machine Translation (FOMT) users witnessed a spectacular growth since 1994. FOMT systems change the aspects of machine translation (MT) and the mass translated materials using a wide range of natural languages and machine translation systems. Hundreds of millions of people use these FOMT systems to translate the holy Quran (Al-Qurʾān) verses from the Arabic language to...

The findings and conclusions in this document are those of the author(s), who are responsible for its content, and do not necessarily represent the views of AHRQ. No statement in this report should be construed as an official position of AHRQ or of the The information in this report is intended to help health care decisionmakers—patients and clinicians, health system leaders, and policymakers, ...