綜合訓(xùn)練（四）朗讀短文-Mr.Liu.m4a

01:05 來(lái)自劉凱老師

短文朗讀并回答04（本節(jié)8分）

現(xiàn)在，你有1分鐘的時(shí)間瀏覽短文與問(wèn)題，并做錄音準(zhǔn)備。

Machine translation is the process of using artificial intelligence to translate text from one language to another. It was first developed in the 1950s for international communication.

Nowadays, machine translation goes beyond simple word-to-word translation. It can analyze all text elements and identify how words affect each other. It’s been applied in many different fields, such as business, tourism, and healthcare.

Despite its convenience, it still faces many challenges. One of them is the complex language. Language is not just about words and grammar, but also about context and culture. Another challenge is the issue of security. Machine translation systems often require access to sensitive information. Besides, it is lack of quality data. The systems rely on large amounts of data to learn how to translate accurately.

機(jī)器翻譯是使用人工智能將文本從一種語(yǔ)言翻譯成另一種語(yǔ)言的過(guò)程。它最初是在20世紀(jì)50年代為國(guó)際交流而開發(fā)的。

如今，機(jī)器翻譯已經(jīng)超越了簡(jiǎn)單的逐字翻譯。它可以分析所有文本元素，并識(shí)別單詞如何相互影響。它被應(yīng)用于許多不同的領(lǐng)域，如商業(yè)、旅游和醫(yī)療保健。

盡管它很方便，但仍然面臨許多挑戰(zhàn)。其中之一是復(fù)雜語(yǔ)言。語(yǔ)言不僅僅是詞匯和語(yǔ)法，還包括語(yǔ)境和文化。另一個(gè)挑戰(zhàn)是安全問(wèn)題。機(jī)器翻譯系統(tǒng)通常需要訪問(wèn)敏感信息。此外，缺乏高質(zhì)量的數(shù)據(jù)。這些系統(tǒng)依靠大量的數(shù)據(jù)來(lái)學(xué)習(xí)如何準(zhǔn)確地翻譯。