NAN WANG
Text-Image Translator (2016)
Text-Image Translator is an interactive program that translated texts in various languages into images. It generates images (still images or GIFs) by using information from the internet, accessed through Google Search Services. Users can input text, have it translated into different languages, and generate corresponding images.
Language and cultural barriers still exist even in such a globalized world. Languages, as the most effective way of exchanging memory and thoughts, made them shareable and not shareable at the same time. One concept can arouse distinguish feelings in different languages. We may never be able to fully understand what a word really means to another culture, despite the existence of thousands of kinds of dictionaries or Google or Wikipedia. “Text-Image Translator” is an attempt to step over the barriers or gaps in languages and cultures. It creates the possibility to observe and understand the connections and differences through abstract images.
Collecting information from the Internet through Google Search, “Translator” is also a reflection of the relationship between Internet culture and human cognition. In such a networked era, we are not only shaping the information but are also shaped by it. The results that “Translator” gives are always changing as time goes by. The archives of images that are generated by the translator can be considered as the records that show the changes in Internet culture and cognition.
 Själ (Soul in Tajik).jpg |  ಸೋಲ್ (Soul in Kannada).jpg |
|---|---|
 靈魂(Soul in Chinese(Traditional)).jpg |  Ruh (Soul in Turkish).jpg |
 Soul.jpg |  ආත්මයක් (Soul in Sinhalese).jpg |
 Dvēsele (Soul in Latvian).jpg |  Future.jpg |
 Accurate.jpg |  حرية (Freedom In Arabic).jpg |
 Saoirse (Freedom In Irish).jpg |  Tokoloho (Freedom In Sesotho).jpg |
 Xorriyad (Freedom In Somali).jpg |  Mourn.gif |
Images generated by the translator
Face Description (2016)
Face Description is a program that is trained by online images of human faces and text. With the machine learning process, it will be able to describe the human face images with some words, such as "Male", "Female", "Angry" and " Calm". This project is aimed to explore how humans are defined or judged by the Internet and how the process of experiencing and learning are influenced by online images and text or comments. Internet becomes a individual with personal cognition and gives its opinions in this project.
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