¶ … Machine Translation and Horizons of the Future
Almost everyone is familiar with the nifty Google feature which allows for instantaneous translation of foreign words. This automated or 'machine' translation is a convenient way to read websites in different languages. No longer does the reader need to know someone who speaks the foreign language or to hire a translator. The translation is provided quickly and easily, via 'machine.' However, for many professional translators, there is a fear that this mechanized process will render their profession obsolete. The article "The perspective of machine translation and horizons of the future" argues that such fears are unfounded. There a useful function that can be performed by machine translation that will enhance current translation capabilities for businesses, individuals, and other organizations, even if it is not a perfect replacement for human intelligence.
The article begins by noting the vital need for translation today, given the increasing globalization of the economy. However, despite the facilitation of communication through this globalization, business documents are often wordy and lengthy. Hiring a translator to translate these documents can be expensive for small businesses and even for large businesses. This can result in a long, costly slowdown and loss of income. Far faster than human translation is the process of machine translation, accomplished via the use of software. "The roots of machine translation are in cryptography;...
Machine Translation, And the Future Computers are being used in many areas to speed and automate tasks that are tedious or strenuous on human beings. Computers aid us in making our daily lives better in many ways. Computers are being used for a variety of tasks. As the world moves toward a global economy, communication has become a major issue of the agendas of almost any industrialized nation. Machine translation is
International Business Machines Corporation in detail. The paper is divided into three distinct parts with the corporate history constituting the beginning of the paper followed by the structure of the corporation, its shareholders, officers and the board of directors. The last part before the conclusion unfolds the precious information pertaining to the financial status of International Business Machines Corporation. The Works Cited eight sources in MLA format. Business Law Entrepreneurs set
Stevens Star Model and New Tech to Improve Patient OutcomesThe Stevens Star Model of Knowledge Transformation is a framework that guides the transformation of knowledge from research into practice. This model consists of five points: discovery, summary, translation, integration, and evaluation. Each point represents a step in the process of moving from scientific evidence to practical application in patient care (Song et al., 2021). This paper shows how in the
Aristoxenos, two centuries after Pythagoras released his model, sought to discredit the standing theories held by Pythagorean devotees. In his works, he established that numbers are not relevant to music, and that music is based on perception of what one hears, not any mathematical equation. Descartes as well as Vincenzo Galilei (Galileo's father) both also discredited the music-to-math theories that formed the revolutionary basis for Pythagoras' music work, but not
Management Styles Fool-proofing a service operation. In the banking industry, a significant service industry in any country, optimized operations are essential to ensure that the public has maximum confidence in the operators of this industry. Bank of America and its operations have been selected for discussion in this study. The bank has grown tremendously in the past few years. CEO, Ken Lewis realized that the bank could gain a wider market share
Harnessing Unstructured Data in Radiology The harnessing of unstructured data is vital to moving the field of radiology forward. There are methods used for the mining of unstructured data, with one of the most common being Natural Language Processing (NLP). However, there are some difficulties with the use of NLP in the radiology field, because NLP lacks the capacity to analyze free-text radiology reports and images. There is too much uncertainty
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