產(chǎn)品評(píng)論:這些是用戶購買產(chǎn)品后留下的評(píng)論,并且經(jīng)常使用俚語和慣用的表達(dá)式(“the best bang for your buck”,“this is an amazing product hands down”);而且有時(shí)上下文是不存在的(例如,“this is my favorite axe”),或者用戶試圖有趣,使用笑話,玩詞,雙關(guān)語等。所有這些對(duì)于MT都是非常困難的。
產(chǎn)品描述:這些是專業(yè)用戶描寫的文字,其的閱讀性較強(qiáng),是非常方便想要購買其產(chǎn)品用戶的閱讀。
會(huì)員與會(huì)員的交流(M2MT):有時(shí)買方和賣方不是說同樣的語言,所以我們使用MT來允許他們彼此通信。
培訓(xùn),測試和培訓(xùn)
那么,機(jī)器翻譯系統(tǒng)如何學(xué)會(huì)處理所有這些復(fù)雜性?你訓(xùn)練它。我們的技術(shù)團(tuán)隊(duì)使用我們的MT引擎生成翻譯,這些翻譯是由機(jī)器翻譯語言專家或內(nèi)部翻譯進(jìn)行譯后編輯。如果后編輯文本的質(zhì)量良好,則將其反饋到引擎中。系統(tǒng)從這些改進(jìn)的翻譯中學(xué)習(xí),并使用該數(shù)據(jù)作為將來生成更好翻譯的基礎(chǔ)。
最后想說的是MT是擴(kuò)大eBay全球業(yè)務(wù)的關(guān)鍵,盡管存在很多挑戰(zhàn),但我們試圖有效地連接世界各地的買家和賣家。
Inside eBay’s Translation Machine
When I joined the machine translation (MT) team at eBay in early 2014, somebody told me that MT at eBay was completely different than anywhere else. And honestly, it took me very little time to understand why. So what makes our MT process so special and how do we make it work?
The Background
There are currently more than 800 million listings on eBay. Considering that each listing has around 300 words, how long do you think it would take any given number of linguists to translate these listings? Did I mention that some of the listings may only be online for a day or a week and that the inventory changes continuously?
So, don’t even pull out your calculator. The answer is simple – human translation is not viable. However, if you really want to know, we estimate it would take 1,000 translators 5 years to translate only the 60 million listings eligible for Russia! For listings, machine translation is clearly a much better fit in this scenario. Let me make clear at this point that other types of content, like UI, customer support, etc., are localized by our team of language specialists. ebay-1
原文:
https://slator.com/features/inside-ebay-translation-machine/
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