机器翻译原理与方法 - ä¸­ç§‘é™¢è®¡ç®—æ‰€è‡ªç„¶è¯­è¨€å¤„ç†ç ”ç©¶ç»„- 中国科学院 ...

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String-to-Tree Vs. Tree-to-String
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Galley
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The target language (i.e. English) has syntactic resources (parsers and
treebanks) that are considerably more available than for the source language
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There is less benefit in modeling the syntax of the source language, since the
input sentence is fixed during decoding and is generally already grammatical
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Liu
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Source analysis may be important
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Ill-formed source trees make the Tree-to-String decoder difficult to seek the
“true” translation. We can never expect good syntactically-motivated reordering
under ill-formed source tree structures. In contrast, the input of String-to-Tree
decoding is source string. The decoder may build a reasonable target tree with the
help of language model even though the rules are learned from ill-formed target
trees in training data.
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Tree-to-String decoding is useful for translating resource-rich languages (e.g.
English) into resource-poor languages (e.g. Inuktitut)
机 器 翻 译 原 理 与 方 法 (05) 基 于 句 法 的 机 器 翻 译 方 法
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