#Itranslate vs google translate software

The study aims to verify the capacity of Facebook Translation Service in translating English Facebook posts into Arabic in terms of two criteria: adequacy and fluency in line with the Translation Automation User Society (TAUS) scales. The paper concludes that MT can be an effective tool, but it can never replace human translators. It also indicates that MT might work as an aid to translate general information about COVID-19, but it is still incapable of dealing with critical information about COVID-19. Such errors inhibit the intelligibility of the translated texts. The paper reveals that Google Translate committed a set of errors: Semantic, grammatical, lexical, and punctuation. Food and Drug Administration (FDA), the Foreign, Commonwealth & Development Office (FCDO), and European Centre for Disease Prevention and Control (ECDC). The study's corpus was extracted from World Health Organization (WHO), United Nations Children's Emergency Fund (UNICEF), U.S. The study adopted (Costa et al., 2015a) framework in analysing the output of Google Translate output service in terms of orography, grammar, lexis, and semantics. The widespread of MT system makes it worthy of scrutinizing the capacity of the most prominent MT system, Google Translate, to deal with COVID-19 texts into Arabic. MT provides real solutions that can remove borders between people and COVID-19 information. Machine Translation (MT) has the potential to provide instant translation in times of crisis. Lemmatization will ensure rapid dissemination of the word list and its integration in the linguistic system through derivation and other word-formation processes. This set can be utilized by news media workers, health communication specialists, and ESP learners. One of the major contributions of this research is establishing lemmas of a large set of AWL. Building such a discipline-specific glossary will be of special pedagogical value for health journalists, textbook writers and curriculum designers, instructors, and ESP learners in the health sciences field. Subsequent to compiling, lemmatizing, and analyzing the AWL, six categories were identified, namely, acronyms and abbreviation, diseases, COVID-19, biology, medicine, and scientific disciplines, all of which are of essential use for media workers, ESP learners of journalism, medicine, nursing, pharmacy, and allied health sciences.

#Itranslate vs google translate software

The corpus linguistic software program Wordsmith (WS-6) (Scott, 2012) was used to generate a word list based on the complied corpus. A total number of 18,249,093-word corpus was compiled.

Factiva was used to retrieve the pandemic-related articles published in News Rx from January 1 - October 31, 2020. This paper adopts a corpus-based approach to build a lemmatized academic word list (AWL) inspired by the COVID-19 pandemic. The aim of this research is two-fold first, to explore the most frequent COVID-19 inspired words in medical news reporting contexts, and second, to classify them into different categories. However, a human translator is still needed since MT may not provide an adequate and effective translation as humans do. In conclusion, the Google Image Translate service helps the users configure the gist of the image.

The paper shows that Google Translate made the following errors while rendering the content of images into English: mistranslation, omission, additions, wrong choice, misordering, subject-verb disagreement, and semantic errors. (2015) in analyzing the output of Google image service in terms of orthography, grammar, lexis, and semantics. The paper adopts the Linguistic Error Analysis Framework of Costa et al. Besides, it aims to identify the capacity of Google Translate in rendering Arabic signage into English effectively without the help of human translators. In this vein, the current research paper attempts to evaluate the accuracy of Google Image Translate service in rendering the texts printed on Arabic signage: banners and road and shop signs from Arabic into English. Google Translate offers a new service: translating the content of images (texts) instantly and freely into 100 languages powered by the Neural Machine Translation approach (NMT). When people travel to another country for work or leisure, they regularly need a medium to help them understand the written messages in other languages.