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Almost Flat Functional Semantics for Speech Translation

机译:语音翻译的几乎平坦的功能语义

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We introduce a novel semantic representation formalism, Almost Flat Functional semantics (AFF), which is designed as an intelligent compromise between linguistically motivated predicate/argument semantics and ad hoc engineering solutions based on flat feature/value lists; the central idea is to tag each semantic element with the functional marking which most closely surrounds it. We argue that AFF is well-suited for medium-vocabulary speech translation applications, and describe simple and general algorithms for parsing, generating and performing transfer using AFF representations. The formalism has been fully implemented within a medium-vocabulary interlingua-based Open Source speech translation system which translates between English, French, Japanese and Arabic.
机译:我们介绍一种新颖的语义表示形式主义,即“几乎平坦的功能语义学(AFF)”,其设计是基于语言特征的谓词/参数语义与基于平坦特征/值列表的临时工程解决方案之间的智能折衷。中心思想是为每个语义元素加上最紧密围绕它的功能标记。我们认为AFF非常适合中词汇语音翻译应用,并描述了使用AFF表示法分析,生成和执行传输的简单通用算法。形式主义已经在基于中语词汇的基于语言的开源语音翻译系统中得到了全面实施,该系统可在英语,法语,日语和阿拉伯语之间进行翻译。

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