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Category: language technology

Sentiment analysis

Sentiment analysis is the automatic use and elaboration of natural language, to identify and extract subjective information form different on-line sources. It is widely employed to analyse social media reputation […]

Easy Chinese?

The aim of Chineasy’s method is to allow learners to recognize characters through simple illustrations. Following the building block principle – blocks, compounds and phrases – the student will learn […]

Software localization – QT Linguist

QT internationalization and localization tool is very useful. It doesn’t allow however the creation and maintenance of translation memories. If you are using QT to code it is ok – […]

3 reasons to try machine translation

1. MT may be a cheap and quick solution to understand each other If you work in an international environment you get used to communicate with people coming from different countries […]

A wearable Text-Reading Device

FingerReader is a wearable device that assists in reading printed and digital text. It was created by the Fluid Interfaces group from the MIT Media Lab. This tool is both […]

Swype, a living keyboard

The keyboard learns really fast and it is easy to use. Just check if you have enough space on your smartphone to install it.

Universal translator vs Google translate

A reader asked me on Linkedin if Universal translator was based on Google translate. I investigated, but I didn’t get any good information so I made a comparison by machine translating […]

Translingo Voice

Translingo Voice has been developed by Ask Ziggy,  a company founded in January 2012 based in Rocklin, California.

Universal translator – App test

I took three portions of three different French texts to be machine translated with Universal Translator into English. These are the three samples: first article, first clause of the European […]

Scrubly – clean up your address book

Scrubly is produced by BluCapp Inc, a company with headquarters in Seattle. This application will clean up your contacts and make you save the time you would have spent in […]

Twitter language communities in London

This tool was created by Eric Fisher and Ed Manley. The main languages detected were: English, Spanish, French, Turkish, Arabic, Portuguese, German, Italian, Malay and Russian. The corpus was of 3.3 […]

Duolingo!

Duolingo was created by Luis von Ahn, PhD, and Severin Hacker, PhD,  its headquarters are in Pittsburgh, PA, USA. The company keeps on adding supported languages and winning prizes. Is it possible […]