Monetize human's creation, LangChain https://t.me/Langchain

1. Translation Services In Coin Sharing Structure

2. 3) DB usage information
Transparent revenue sharing
What do we record to blockchain?Block data
Block data on blockchain network
1) Token Transaction
Translation service, Translation data lease,
Transfer
2) DB contribution
Contribution point measurement
(The factor of profit share)
Translation Data on our application
MLDB: Original text, Translated Text
Always on hot storage
HOT
Cold
MLDB+: Original text, Translated Text
+ Valuable meta data
Complete data will be moved to cold storage

3. Provide points (MLP)
based on DB contribution
Profit share to contributorsReward
Profit will be shared regularly

4. Mother of Language platformArchitecture

5. Features of our backbone layerData flow
Conventional area A.I & New Service
Confirmed
Valuable translation corpus data
With meta-data
Ready-to-use translation corpus data
for conventional value chain
Get point
Work for translation
And get point (MLP)
Reduce double-translation rate
and increase efficiency by translation corpus DB
Efficient translation by DB
Data confirmation by consensus
among point holders
Without any cost
Lease to Linguistic AI company
And share the profits regularly

6. ML point, give strength of the ecosystemBest Practice
41.8 STEEM
Rewards
41.45 STEEM
Rewards
{Author, Translator} + Metadata tagger
In this case,
‘aceh’ specialized translator can be built.
Tag data
KR to EN
Korean post
English post
The performance of AI translator
improves to double
if the AI learns specific sectors.
BLEU Score

7. Conventional translation market and future expansionMarket
Market size
Price
ML
DB
Price gap by the size of TM
Standardization of the translation unit price
Big Small Personal
As is : To be
Standardized by MLDB
Problem
Translation market only works in domestic because of
accounting problem
Solution
Adopt ML Token and organize a real international
market
Translation agencies of each country provide exchange
between real currency and token for encashment.
Token flow is controlled by organizing MLT exchange.
Existing exchanges can also control the token flow.
Market expansion
Conventional translation market size: USD 50B
Expand to AI translation, natural language processing, and data market

8. The strong point of the dAppWhy dApp?
Coin network needs dApps because they make
transaction continuously and support the price of coins.
The ’killer dApp’, which connects to real industry,
occupies a huge amount of the value of the coin
network.
The competitive dApp and the coin network can live
together and organize a virtuous circle
The increasing number of transaction can raise and
support the coin/token price
출처: 유안타증권, 김완순님.
Choice and concentration
ML project concentrate to develop fine dApp, not main
network.
ML project will be built on other coin network.
ML and ML apps can organize separated sub-chains and
raise.
Transaction can be categorized in many cases
(Transfer, contribution, tagging, search, confirmation, data lease..)

9. ICO
https://t.me/Langchain
http://langchain.io
- SOON -
Mother of Language `s Langchain

10. E.O.D

11. appendix

16. 보팅을 통해 콘텐츠 크리에터가 보상을 얻는 SNS

17. 1steem = Max 12,000 KRW
Now 3,000 KRW

19. 1. Simple request by
one click
2. Simple UX
3. Fast estimate
Connect to out translation tool – Translation start

20. Building our community by @CICERON of Steemit.
Upvote project for guaranteeing minimum income of requesters & translators
using inflation economy model of STEEM

21. • The first contents translation
company on blockchain
Ex)
- Utilizing contents service on coin network such as SMT, EOS.
- Strength compensation of personal contents creators.
- Cope the language barrier and get votes from worldwide.
Problem)
- Inappropriate current translation process in digital contents
- Accounting problem occurred from processing foreign expense.
Solution)
- Develop contents translation service based on cryptocurrency
(STEEM)