This may require additional planning and budgeting in the delivery of your research paper, but as the saying goes, you get what you pay for. The level of sophistication may be enough to help you get a rough translation of an abstract, but beyond that, place your work in the capable hands of specialist academic translators who understand the specific terminology of your field and are native speakers.
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As such, translation of your academic research should never be left to the mercy of online software options. Choosing the Right Translation MethodĬomplete and accurate machine translation may be several years away yet. The current results are rough, often clumsy, and can best be described as basic ‘tourist-level’ translation. In that context, we are left with software programs that either process text through rules-based systems or use statistical methodologies to track online language pairs. Other than using the name for a translation software program, we haven’t made much progress with the babel fish, and voice commands for computers are still in the early stages of development. Science fiction has offered two approaches to real-time translation of foreign languages: the fictitious babel fish from the Hitchhikers Guide to the Galaxy, and the complex machine translation of the voice commands of the Star Trek computers.
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Using one of the free online translation tools that are now available would probably not give you a word-perfect translation (especially if there is any complex terminology involved), but it may provide enough content to decide whether or not a complete translation of the article is worth pursuing. You could be missing a valuable article that could make an important contribution to your study. If a database search for a literature review brings up an article that’s not written in English, your first reaction may be to dismiss it and move-on to the next article on the list. Online translators such as Google Translate uses the NMT system. NMT uses complex algorithms such as deep learning and AI. Unlike SBMT, NMT uses less memory since the models are trained jointly to maximize the quality of the translations. It uses large artificial neural network that predicts the likely sequence of long phrases and sentences. Neural Machine Translation is an advanced version of SBMT. However, the statistical-based translated text is less consistent. The translated output of SBMT has higher fluency than RBMT. SBMT requires large volume of texts for translation. While RBMT is word-based translation, SBT uses phrases that reduce the rigidity imposed on the algorithm by word to word translation.
SBMT uses statistics to generate translations based on parameters that are derived from the analysis of existing bilingual sets of texts, known as text corpus. Statistical-based Machine Translation (SBMT) It works best when translating between languages whose rules are dynamic and abstract. The translation in RBMT takes place in three phases: analysis, transfer, and generation. It is based on predefined rules such as grammatical, syntactical, and semantic rules that govern languages. RBMT was the first commercial machine translation system to be used. The three types of machine translation systems used are: 1. While it sounds like a direct process of converting one language to another, a lot more complex process goes into translation even the most basic text. Machine translation is practically instantaneous translation with the help of software and advancements in AI.
For a translation to be more precise, you are more likely to need a human translator. In simpler words, machine translations may not be reliable in translating complex ideas and sentences, idioms or creative language, industry-specific data, or critical data.
While machine translations are becoming better with internal updating, it still needs a proofread from a human translator. Undoubtedly, results delivered with both will vary depending on the content source, target languages, machine translation service used, expertise of the human translator, and complexity of the original text. How can we decide which one is better? - machine translation or human translation. While some disagree on the differences between the two, most believe that the quality of one is better than the other. The debate between human translation and machine translation has been in around for a long time now.
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