How a difference between Chinese and English languages helped Baidu make an important advancement in natural language processing (Karen Hao/MIT Technology Review)
Baidu is a Chinese company focusing on artificial intelligence and big data. It operates as a search engine and provides voice, image, and video search services. Baidu was founded by Robin Li, who also used to work at Microsoft. How a difference between Chinese and English languages helped Baidu make an important advancement in natural language processing. As a search engine, it has a lot of competition, including Google, which has its roots in the United States. Baidu is a relatively new search engine and has yet to gain much market share, so it has a lot of room to grow. So why should you care about it? There are two main reasons: 1. It is a good indicator of what happens when an industry moves toward AI. 2. You can use it to learn more about the Chinese language.
How a difference between Chinese and English languages?
Language barriers are common in global commerce. In China, many consumers are discovering e-commerce and learning about it for the first time. There are many different reasons why a market might experience a language barrier. Sometimes this occurs because the language is completely new to the consumer, or the consumer is coming from a region where the language is different and is learning English in school. Other times the language barrier occurs because a local seller might be selling in a country where their native tongue differs from the local consumer’s native tongue. In any case, a language barrier can slow down or prevent the sale.
How a difference between Chinese and English languages helped Baidu make an important advancement in natural language processing?
Baidu is China’s largest search engine company and was founded in 2000. It started as a research and development arm of Chinese Internet giant Alibaba. But as search became increasingly more sophisticated, Baidu saw a clear opportunity to become a major player. So they set out to improve their search algorithm using natural language processing (NLP). With NLP, computers can process words and phrases and consider the context in which they appear to understand what a person means. Baidu needed to advance to compete effectively with Google in China.
How did Baidu use Chinese and English to develop its natural language processing?
Unsurprisingly, the biggest web search engine, Baidu, uses both English and Chinese. The company has a strong team of engineers dedicated to building artificial intelligence and natural language processing models, including one of the largest natural language understanding systems. And this system’s creation started with a simple question: How did they develop a language model that can understand the nuances of Mandarin Chinese? The answer is quite simple: studying English and Mandarin Chinese differences. How a difference between Chinese and English languages helped Baidu make an important advancement in natural language processing.
Conclusion
In conclusion, How a difference between Chinese and English languages helped Baidu make an important advancement in natural language processing. Baidu’s AI platform, called Baidu Cloud Speech Recognition, was developed by researchers at the company’s Chinese Language Laboratory. The platform uses deep learning technology to train machines to learn to recognize speech based on training data, which is stored in the form of audio files. The researchers say this technology is particularly useful for creating digital assistants like Siri and Alexa. The Chinese language has its distinct style, which may sound unfamiliar to those who are used to studying English as a first language. While learning a second language can be challenging, plenty of helpful resources can help you. There are many ways to improve your Chinese, from grammar lessons to vocabulary lists.
FAQs
1. What is natural language processing?
Natural Language Processing is the process of understanding human language by using computers. It’s used for translation, information retrieval, question answering, etc.
2. How did Baidu use Chinese and English to make its NLP more accurate?
We needed to collect a lot of data to make the NLP more accurate. The data was collected from the Internet and included web pages and blogs.
3. What is the importance of using Chinese and English for Baidu’s NLP?
Using Chinese and English allowed us to collect data from a wider range of people. This enabled our NLP system to understand more of the world.
4. How can Baidu use its NLP to improve search results?
We will use our NLP system to improve search results. For example, if you type “American football” into our search box, the search engine will return the results in English and Chinese.
