The Creation of Custom Data Sets to Meet Customer Needs: A BSC Project
Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs.
3 min read
25/05/2023
The technological advances that have occurred over the course of the last few decades have made it possible to optimize and streamline the work of human translators. One of these advances is machine translation (MT).
How accurate can MT be? Is it better to contact a human translator? A hybrid translation process may be ideal for you. It is important to be familiar with the differences between human translation and machine translation, as well as the advantages and disadvantages of each approach.
Machine translation, in its simplest sense, is the transformation of text from a source language into a target language using a machine. When this system is based on AI algorithms, it is called neural machine translation (NMT).
On the other hand, human translation is still superior in quality. Translation performed directly by a professional translator is more than replacing words within a text with equivalent words in another language; it takes into account the particularities, tone and sensitivities of each culture, language and context.
However, there is no doubt that professional translation can lean on machine translation to facilitate the task. Thus, by means of a hybrid process, it is possible to combine human experience and interpretation with the simplification and high processing capacity of MT.
But hybrid methods aside, individually, which is better? What are the differences between human translation and machine translation?
Among the main advantages and disadvantages of human translation, we can identify the following:
Article of interest: When to review a translation? The importance of human translation
Article of interest: Human-in-the-loop (HITL); making the most of human and machine intelligence
To help you better visualize the differences between machine translation and human translation, here are the advantages, disadvantages and challenges of machine translation:
Article of interest: AI Translation: The Future of Language Learning
In addition to the differences between human translation and machine translation, you should know how technology has evolved to increase MT quality.
Article of interest: How Can AI Document Translation Help You?
The quality of machine translation has dramatically improved due to the advances in artificial intelligence and its subfields, such as machine learning. MT currently employs artificial neural networks that emulate the functioning and interconnections made by human neurons during a thought process.
Related article: Techniques for measuring machine translation quality
Like the human brain, neural networks have the ability to associate the elements of the input language with the stored information, and thus generate the translation.
This way of associating information and using it to continuously train the engines allows machine translation to become more and more efficient and accurate.
Machine translation has gone through a long evolution process:
In 2014, machine translation based on neural networks began to be put into practice. Although it also requires a large amount of data for training, this system that outperforms statistical translation systems.
It has such great potential that not only text is being incorporated into its learning process, but also multimedia files and image formats.
At Pangeanic, we combine human ingenuity with the power of artificial intelligence. By doing so, we are able to deliver a translation service tailored to your requirements.
We have an extensive network of professional translation experts: over 25,000 native specialists with more than 20 years of experience in the translation industry.
In addition, we combine this human translation capability with machine translation that uses neural engines, allowing translation work to be accelerated, while preserving the human quality and accuracy.
Tell us what you need. At Pangeanic, we adapt everything to the language and specialization requirements of your business.
Rapidly advancing technology and the growing need for accurate and efficient data analysis have led organizations to seek customized data sets tailored to their specific needs.
The technological advances that have occurred over the course of the last few decades have made it possible to optimize and streamline the work of human translators. One of these advances is machine translation (MT).
Synthetic data is data that has been artificially generated from a model trained to reproduce the characteristics and structure of the original data. The goal is for the synthetic data to be sufficiently similar to the...