قم بتنزيل Semantus على جهاز الكمبيوتر باستخدام GameLoop Emulator

Semantus على الكمبيوتر الشخصي

Semantus ، القادم من المطور Semantus ، يعمل على نظام Android في الماضي.

الآن ، يمكنك لعب Semantus على جهاز الكمبيوتر باستخدام GameLoop بسلاسة.

قم بتنزيله في مكتبة GameLoop أو في نتائج البحث. لا مزيد من الانتباه إلى البطارية أو المكالمات المحبطة في الوقت الخطأ بعد الآن.

ما عليك سوى الاستمتاع بجهاز Semantus على الشاشة الكبيرة مجانًا！

Semantus مقدمة

Discover 4 games based on word proximity.

Classic Mode:

You are given the 1000th closest word and work your way to the hidden word.

Clap mode:

You are given the summary of a film with the important words hidden. Suggest words, nearby words in the summary are displayed. The goal is to find the exact French title of the film.

Flash Mode:

This time you are given the word, you have to find words in the top 1000 of the closest words and total the most points in 2 minutes.

Link mode:

You are given the first and last word of a sequence of 4 words. Find the two missing words so that there is a strong connection between each pair of neighboring words. There are several solutions ! Find the strongest link.

Explanations:

In the discipline of NLP (natural language programming in English, or natural language processing), a sub-discipline of machine learning that deals with language, it is practical to represent words by high-dimensional vectors. These vectors do not represent much, but the distance between these vectors provides information on the proximity between the words. We then train a deep learning algorithm on a very large database, made up of a collection of texts in the same language (thanks to the internet). The model thus trained makes it possible to associate a vector with a word. Words that often appear close to each other in a text will be represented by vectors having a close distance. This does not mean that the words have a similar meaning or even that they are part of the same lexical field!

Data :

* Word vectorization model: https://fauconnier.github.io/#data

* List of French words with frequencies and lemmas: http://www.lexique.org/shiny/openlexicon/

* Movie database: https://www.themoviedb.org/

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