主题：【原创】为什么汉语是世界上最先进的语言（上） -- 冷酷的哲学

智能识别方面的水平太低，只能做低水平的字、词处理，还不能解决句子和段落的综合分析。

总体来说，这不是语言的问题，而是智能识别能力提高的问题。

1

if I may use the following analogy:

human brain=原子,離子, 神经细胞, a lot of 離子, not too bad;

语言=some kind of 光譜, 原子@混合态,非定态,电荷分布随时间振荡，辐射, well, our brain has to perform 能量交換 ,interacting with 光场 from/of other human brains, close;

2.

so, social 语言场 with "量子化" should be more close to semi conductor type, less close to 经典通信 model, which has been managed by wall street and tg, basically, with huge pricing power, and therefore a huge tax to society in general

In "semi conductor"聲子场,phonons are basically 量子化 of heat reservoir of a solid, "heat" as an energy fully utilized;

In social 语言场 (such as in this 语言 post), a lot of "over heat" of emotions generated, then what?

3. now, google, fb folks come in, what they see?

1)can't compete with ws and tg, even with a "better" 经典通信 model

2) 经典通信 model as a macro, coarse grain,"low speed" approximation of the underlying "qm logic"/s-cat type based social 语言场, really loses a tons of information in its basically 熱力學統計 model basd processing, and losing information is really "bad".

4 what do I do as goog/fb AI

1)"海量文字数据挖掘，自然语言人机交互", trying not to lose information, before doing anything else.

2) 路徑積分 "歧义"

for example: “我女朋友下面给我吃”的一般理解即动词“下”的面，非要歧义理解成介词“下面”就是无聊了"

http://www.ccthere.com/alist/3847181/3

what the boy and girl try to do here?

“下”既可做动词，又可做介词",

having a dinner, then ml, or together, AI will try to figure it out and then help them out, there is no "无聊" , but AI will try to 路徑積分 "歧义" in understanding this chinese "s-cat", qm model to start with:

第四章双原子分子的振动和转动. §4-1 分子光谱概述. 1. 带状光谱. 对于原子而言，原子的能量是量子化的，只能取某些确定值。例如，He. 原子，在中心场近似下，各能...

etc

5.

As such, goog/fb AI would eventually emerge out without making a lot of fuss, gradually wiping out possibly a lot of US attorneys, and tg's 政委 as well, in future?

in future, people "cell/mass" 自己管理and/or解放自己 peacefully, @much lower cost, and become more productive socially: basically like 波函数自组织,量子化学 kind of model.

Is there anything "wrong" with that?

虽然说象英文这些有人工划分单词，但是词组或语句的意思才是更多场合下要用的。汉语相比较而言主要就是多个分词的过程。后面的语义分析应该是基本类似。现在的计算能力和存储能力，分词的花费也就相对较小了。

其实可以比较一下计算机对中英文语句的平均理解速度。也许在单词水平上中文不见得占优，但在句子或短篇水平上就可能会占优。

产业还没完全发展出来而已

一个句子里 不是说只有到了标点符号处 才有相临字间的分离。 词组和词组之间 根据意义自然空格即可。

我在网上写东西 都是这样的。这种操作的灵活性 要超过英语的 词和词之间必空格 之原则。但如果人们要坚持 一句话里无标点就不断句， 那就是主动放弃 汉语的一个优势。

本来汉语没有标点，但现在大家都知道 标点好。我希望 根据意思自由空格 未来也会成为 被大家接受的常态。