Chapter 2 :
  Gründe des Algorithmus
So, what is the basis for this self-proclaimed ‘efficient’ algorithm? It would probably be best to explain it by posing basic questions and building up on them through logic, so the reader may be able to see the point on their own, rather than supplying a mere proof of the statements.
Chapter 2.1 :
 Was ist eine Sprache?
In today’s globalised world, one cannot remain monolingual if he/she wants to seriously improve themselves; irrespective of whether in their career or personal lives, since each part of the world has its own specialty. Every new language is like unlocking DLC of the world: it will unlock the opportunities of certain regions, whether for travelling, working, learning about various cultures and histories, improving self expression, creating code languages with international friends or simply improving one's own brain capacity. With the near complete invasion of the entire world, English is a language thrust upon most people, aside from their own mother tongue which they naturally acquire. But a question that any language learner inevitably finds themselves asking is: What is the best way to learn a language? The answer varies for different goals: A traveller won’t require full proficiency and will make do with basic phrases, whereas a working professional will want a deeper understanding. However, care must be taken while developing the basics of any topic: these can generally not be changed easily once made. As such, it is important to avoid developing any bad habits or gaps in knowledge, which may be near impossible to find and fill in later, and will keep affecting your speech or interpretation. Anyone who has researched and analysed this topic enough will have come upon the famous idea of full-immersion: wherein you surround yourself with the target language and allow your brain to eventually do its thing. Unfortunately, this takes years, requires your brain to churn tons of data: most of which may be unnecessary, and is still susceptible to flaws. Another method is to complement this with basic grammatical structures in order to see how the language functions and then make things up as exposure increases. Not bad, but I would personally recommend something else entirely, since not all grammar is important either. There are certain parts of a language that are better interpreted using pattern recognition and some that require structural understanding, rather than mere data churning. In this linguistic description, I will try to, based on my understanding, try to give an efficient algorithm wherein detailed proficiency may be achieved while optimising both brain storage and time for learning.