The prevalence in Chinese of grammatical structures that translate into English in different word orders is an important cause of translation difficulty. While previous work has used phrase-structure parses to deal with such ordering problems, we introduce a richer set of Chinese grammatical relations that describes more semantically abstract relations between words. Using these Chinese grammatical relations,we improve a phrase orientation classifier (introduced by Zens and Ney (2006)) that decides the ordering of two phrases when translated into English by adding path features designed over the Chinese typed dependencies. We then apply the log probability of the phrase orientation classifier as an extra feature in a phrase-based MT system, and get significant BLEU point gains on three test sets: MT02 (+0:59), MT03 (+1:00) and MT05 (+0:77). Our Chinese grammatical relations are also likely to be useful for other NLP tasks.

完整版带标签kramers-kronig relations in optical materials

可口可乐CocaCola-201411_Investor Relations Overview.pdf

1969-诺奖得主Granger-Investigating Causal Relations by Econometric Models and Cross-spectral Methods

此代码解决了马赫数、楔形半角或激波角的斜激波关系。 请参阅obliquerelations.m 以了解正在求解的方程的说明。 页面http://en.wikipedia.org/wiki/Oblique_shock显示了代码中使用的几何图形。 使用的数值方法是牛顿法（有关说明，请参见http://en.wikipedia.org/wiki/Newton's_method ）。

desafio-database-relations

Kramers-Kronig Relations in Optical Materials Research

冷启动用户推荐，该文章发表于ICONIP-2020