A team of Microsoft researchers said Wednesday that they believe they have created the first machine translation system that can translate sentences of news articles from Chinese to English with the same quality and accuracy as a person.Researchers in the company’s Asia and U.S. labs said that their system achieved human parity on a commonly used test set of news stories, called newstest2017, which was developed by a group of industry and academic partners and released at a research conference called WMT17 last fall. To ensure the results were both accurate and on par with what people would have done, the team hired external bilingual human evaluators, who compared Microsoft’s results to two independently produced human reference translations.Xuedong chinese to english Huang, a technical fellow in charge of Microsoft’s speech, natural language and machine translation efforts, called it a major milestone in one of the most challenging natural language processing tasks.“Hitting human parity in a machine translation task is a dream that all of us have had,” Huang said. “We just didn’t realize we’d be able to hit it so soon.”Huang, who also led the group that recently achieved human parity in a conversational speech recognition task, said the translation milestone was especially gratifying because of the possibilities it has for helping people understand each other better.“The pursuit of removing language barriers to help people communicate better is fantastic,” he said. “It’s very, very rewarding.”Machine translation is a problem researchers have worked on for decades – and, experts say, for much of that time many believed human parity could never be achieved. Still, the researchers cautioned that the milestone does not mean that machine translation is a solved problem.Ming Zhou, assistant managing director of Microsoft Research Asia and head of a natural language processing group that worked on the project, said that the team was thrilled to achieve the human parity milestone on the dataset. But he cautioned that there are still many challenges ahead, such as testing the system on real-time news stories.Arul Menezes, partner research manager of Microsoft’s machine translation……

Eugene Nida’s functional equivalence theory has aroused heated discussion in the field of translation since it was put forward. This theory has changed the traditional translation theory which only pays attention to the performance of the Source text in the translation, and only pays attention to the equivalence between the translation and the Source text, and focuses on the readers instead. As Munday (2016) [1] pointed out that “… he (Nida) went a long way to producing a systematic analytical procedure for translators working with all kinds of texts and he factored into the translation equation the receivers of the TT and their cultural expectations”, functional equivalence theory is of great significance in guiding the translation process and the evaluation of translation standards. But at the same time, functional equivalence theory also has some deficiencies, such as blurring the boundaries, attributing some differences in translation simply to equivalence, and failing to explain the specific reasons behind translation. This paper intends to make up for the lack of explanatory power of functional equivalence theory in translation by analyzing specific translation examples and proceeding from the compression characteristics of Chinese-English language.Nida indicated that anything that can be chinese to english expressed in one language can be expressed in another language; there is no such thing as an “advanced” language or a “backward” language that cannot be translated by finding translation equivalents between languages and cultures and reorganizing the Source form and semantic structure in an appropriate way. But not in the intralingual translation or interlingual translation, sure there are some differences between two different words that could not have absolute equivalence. In his book Toward a Science of Translating, chinese to english Nida (1964) [2] from the perspective of social linguistics and language communication function, put forward the “dynamic equivalence” theory. He proposed that in translation, the translator is in a dynamic relationship, the relationship between the recipient of the target language and the information conveyed by the target language shoul……

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