How does the translation industry promote the development of AI?
At present, AI continues to develop, and its research and application fields are very extensive, including natural language learning, automatic programming, intelligent retrieval, machine learning, intelligent scheduling, pattern recognition and other fields. Among them, NLP (Natural Language Processing) is an important branch of AI, and it is also an important direction for the application of artificial intelligence in the language translation service industry.
Different forms of language products will be integrated into the new technology platform to varying degrees. The language translation industry will undoubtedly enter the era of AI and promote its development. Mainly reflected in the application of NLP technology, including machine translation and speech recognition technology.
(1) Machine translation
Machine translation has the following different translation principles:
A. Rule-based machine translation;
B. Statistics-based machine translation;
C. Neural network-based machine translation.
Rule-based machine translation is too blunt, and it is prone to ambiguity based on word rules. Nowadays, machine translation based on statistics is more used, which automatically learns translation knowledge from a large number of translation examples in the corpus, and then uses this knowledge to automatically translate other sentences. For example, Google translator, Bing Translator, Trados, etc. are all software for machine translation based on corpus statistics. With the continuous development of technology, neural networks have continuously improved machine translation, and the readability and correctness of translation results can be greatly improved. With the continuous advancement of the "One Belt, One Road" and "Going Global" strategy, the demand for foreign translation has increased sharply, and the significance and value of AI will gradually rise.
(2) Speech recognition
In the language translation industry, interpreting is indispensable in the process of foreign communication. The level and quality of interpreting translation directly affect the effect of communication. The temporary, flexible, and fragmented features of interpreting make speech recognition increasingly demanding. In recent years, with the development of speech big data and neural network deep learning, speech recognition, as a key technology of natural language processing, has been gradually applied to mobile terminals, and various speech recognition products have emerged one after another.
For example, the shared Wifi translation machine launched by Baidu realizes the translation function of human-computer interaction, facilitating people's communication when traveling abroad. Based on the current increasing frequency of trade, cultural communication, and international exchanges between countries, the language translation service industry must enable AI to show its unique characteristics and advantages.
Behind the ever-increasing market demand is the increasing communication provided by globalization and cross-culturalism. In the international market, language ability has become the embodiment of the brand's "hard power".
In the future, the language translation industry will definitely affect AI deeply, and the continuous development of technological innovation puts forward higher requirements on AI. How to make better use of language translation services to improve AI will become an important topic.