Robotics & Machine Learning Daily News2024,Issue(Nov.27) :119-123.

'Automatic Post-Editing Model For Generated Natural Language Text' in Patent App lication Approval Process (USPTO 20240370666)

专利申请审批流程中的“生成自然语言文本自动后编辑模型”(USPTO 20240370666)

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :119-123.

'Automatic Post-Editing Model For Generated Natural Language Text' in Patent App lication Approval Process (USPTO 20240370666)

专利申请审批流程中的“生成自然语言文本自动后编辑模型”(USPTO 20240370666)

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摘要

以下引文是新闻编辑从新闻编辑提供的背景资料中获得的发明者:“机器翻译可以使用一个或多个计算设备翻译文本、语音等。”从第一语言到第二语言。例如,机器翻译过程可以替代第一语言中的词与第二语言中的相应词。然而,一个简单的条件由于短语可能具有不同的特定含义,因此单词的翻译可能不准确而不是把每个词直译成一个短语。例如,英语短语“闰年”有一个g中的具体意思(即包括2月28日在内的一年),但一个字对一个字的替换可以翻译“闰年”作为表示跳跃的一年的词进入第二栏。

Abstract

The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Machine translation can use one or more computi ng devices to translate text, speech, etc.from a first language to a second lan guage. For example, a machine translation process can substitutewords in a firs t language with corresponding words in a second language. However, a simple subs titutionof words can generate inaccurate translations because a phrase can have a specific meaning that is differentthan a literal translation of each word wi thin a phrase. For example, the English phrase “leap year” has aspecific meanin g (i.e., a year that includes February 28th) but a word for word substitution can translate“leap year” into the second lan guage as words that indicate a year that leaps.

Key words

Emerging Technologies/Machine Learning/Machine Translation/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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