Neighbourhood Countries Text Translation by Help of Mathematical Rules (Independent of Any Electronic Devices)

As interest in human logical translating, since visiting neighbor countries has increased in the world and inability of people to memorize huge number of foreign words. We have developed a logical way for translation Azerbaijani, Turkmen, Uzbek, Qashqai, Turkmen Crimean Tatar and neighbor languages of Turkish to Turkish. In this way people instead of memorizing huge number of words, just by memorizing a few rules, they can transfer their own language words to other languages. Many known languages have the same roots and do originate form a few base languages. Because of this, the languages that have originated from the same root(s) may be translated to each other without using a dictionary, such as, translating neighbours' languages. Neighbours' languages words to Turkish words. Detection of the suffix of the word in neighbours' languages to separate main words and its suffixes, is the first step. Then we applied morphological issues as well .In the same manner, both of the languages have same position of verbs nouns adverbs in the sentences. With this in mind, text translation, is as easy as word Translation. In this paper we propose a new method for analysis and finding exact translation of a word by applying algorithmic rules. The use of this research is to present ten rules to toursits from neighbor countries of Turkey, when they are coming to visit Turkey, such that during visiting they can use their own mother tongue for comminucation, just they apply the easy rules to their own mother tongue words, to make Turkish word for comminucation. In future this idea can be used for other countries.