Post by account_disabled on Dec 26, 2023 6:35:57 GMT
Therefore, using AI to help is one way to help maintain and increase the quality of the translation work. We call this kind of work. Collaboration of translators and AI.” Let's explain AI Translation or AI translation technology. “To explain simply, it is the use of AI to enhance human work. In other words, using AI to help work in areas that we used to use only humans to do. It is a collaboration between people and AI. Our AI translation technology is not about using AI to translate all people, but by bringing AI that has been trained with machine learning to work with people.” Patterns of working relationships between people and AI “AI, despite its high capabilities, But the intelligence of AI still depends on the intelligence of humans to some extent. Therefore, the relationship between translators and AI is that of senior-junior. The translator is the senior and the AI is the junior for translation work that requires elegance and gentleness. However, at present, AI is still unable to do better than humans. And right now we don't expect AI to reach that level. But we have the idea that translators have a duty to train AI,
The like a partner, to be able to translate work as closely as possible to Phone Number List humans through Machine Learning. People need to understand the workings of AI deeply and devise various methods that Will train AI to translate work with the highest quality And when the AI that we train with Machine Learning becomes more capable It will be able to help the translator's work better. Make production more efficient Previously, translating one piece of work required two translators to perform two steps: translating and checking the translation. But using AI to work alongside translators This allows us to reduce the translator by 1 person and the 2 translators who previously had to translate a single job. They can split up and work on different jobs at the same time. This means that the use of AI reduces the workload of translators in half and improves production efficiency. In terms of quality as well. the next step It also helps improve the quality control of translation work. and results in good translation efficiency.” Translation is production that requires "quality control" and "production efficiency". “ITP INC., our parent company, was a printing house 105 years ago. And our company, before the big flood in 2011, used to have a printing house. Therefore, it can be said that the origin of our company's business is manufacturing industry And our working concept is the same as other manufacturing companies.
Moreover, 90% of our customers are also manufacturing companies. Even at present the company provides IT marketing and application development services. But the philosophy of working as a “manufacturer” remains unchanged. in translation work We still adhere to “Good quality control” and working efficiently “Efficiency” to deliver good quality products and provide the best service to our customers, and this mindset is what all our employees always adhere to in their work.” This AI translation technology was developed by Thai people? “Yes, our company has been researching machine translation since 2015, and in 2018, when we had accumulated a certain level of data, I and Mr. Koyama (current company president), who is an advisor to the development team, started researching AI. Translation and decide that after this Our company will seriously innovate and develop “AI Translation and Machine Learning”. Although nowadays many Organizations in Thailand are beginning to develop AI technology, but the development of AI technology in Thailand is still not widespread. Compared to America, Europe, Japan and China, therefore,
The like a partner, to be able to translate work as closely as possible to Phone Number List humans through Machine Learning. People need to understand the workings of AI deeply and devise various methods that Will train AI to translate work with the highest quality And when the AI that we train with Machine Learning becomes more capable It will be able to help the translator's work better. Make production more efficient Previously, translating one piece of work required two translators to perform two steps: translating and checking the translation. But using AI to work alongside translators This allows us to reduce the translator by 1 person and the 2 translators who previously had to translate a single job. They can split up and work on different jobs at the same time. This means that the use of AI reduces the workload of translators in half and improves production efficiency. In terms of quality as well. the next step It also helps improve the quality control of translation work. and results in good translation efficiency.” Translation is production that requires "quality control" and "production efficiency". “ITP INC., our parent company, was a printing house 105 years ago. And our company, before the big flood in 2011, used to have a printing house. Therefore, it can be said that the origin of our company's business is manufacturing industry And our working concept is the same as other manufacturing companies.
Moreover, 90% of our customers are also manufacturing companies. Even at present the company provides IT marketing and application development services. But the philosophy of working as a “manufacturer” remains unchanged. in translation work We still adhere to “Good quality control” and working efficiently “Efficiency” to deliver good quality products and provide the best service to our customers, and this mindset is what all our employees always adhere to in their work.” This AI translation technology was developed by Thai people? “Yes, our company has been researching machine translation since 2015, and in 2018, when we had accumulated a certain level of data, I and Mr. Koyama (current company president), who is an advisor to the development team, started researching AI. Translation and decide that after this Our company will seriously innovate and develop “AI Translation and Machine Learning”. Although nowadays many Organizations in Thailand are beginning to develop AI technology, but the development of AI technology in Thailand is still not widespread. Compared to America, Europe, Japan and China, therefore,