6 months of hard coding and supervising by me are over and end with a huge success! After analyzing 80 GB of Google ngrams data Paul and Till put them to a neo4j graph data base in order to make predictions for fast scentence completion. Today was the award ceremony and the two students from Darmstadt and Saarbrücken (respectivly) won the first place. Additionally the received the “beste schöpferische Arbeit” award. Which is the award for the best project in the entire competition (over all disciplines).

With their technology and the almost finnished android app typing will be revolutionized! While typing a scentence they are able to predict the next word with a recall of 67% creating a huge additional vallue for today’s smartphones.

So stay tuned of the upcomming news and the federal competition on May in Erfurt.

Have a look at their website where you can find the (still) German Documentation. As well as the source code and a demo (which I also include here (use tab completion (-: as in unix bash)

Right now it only works for German Language – since only German data was processed – so try sentences like

  • “Warum ist die Banane krumm” (where the rare word krumm is correctly predicted due to the relation of the famous question why is the banana curved?
  • “Das kann ich doch auch” (I am also able to do that)
  • “geht wirklich nur deutsche Sprache ?” (Is really only German language possible?)

<br /> Ihr Browser kann leider keine eingebetteten Frames anzeigen:<br /> Sie können die eingebettete Seite über den folgenden Verweis<br /> aufrufen: <a href=”http://complet.typology.de” mce_href=”http://complet.typology.de” data-mce-href=”http://complet.typology.de”>Demo</a><br />

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  2. Neo4j based Typology also awarded top 90 at Google Science fair. Yesterday I shared the good news about Till and Paul...
  3. Download Google n gram data set and neo4j source code for storing it In the end of September I discovered an amazing data...
  4. Typology Oberseminar talk and Speed up of retrieval by a factor of 1000 Almost 2 months ago I talked in our oberseminar about...
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6 Comments on Paul Wagner and Till Speicher won State Competition “Jugend Forscht Hessen” and best Project award using neo4j

  1. Elisa says:

    That is awesome! Congrats!

  2. [...] “Paul Wagner and Till Speicher won State Competition “Jugend Forscht Hessen” and best Project awa…” writes René Pickhardt. [...]

  3. [...] He warns: Make open mobile web apps. Join the working groups for setting the standards… takeaway: VERY VERY important and interesting part of his speech! especially for typology. [...]

  4. [...] Two days ago I arrived in Erfurt in order to visit the federal competition young scientists (Jugend Forscht). I reported about the project typology by Till Speicher and Paul Wagner which I supervised over the last half year and which already won many awards. [...]

  5. [...] in our oberseminar about Typology. Most readers of my blog will already know the project which was initially implemented by my students Till and Paul. I am just about to share some slides with you. They explain on one hand how the systems works and [...]

  6. [...] for a year now. The idea of Generalized Langauge Models originates from Typology which was originally implemented by Paul Wagner and Till Speicher. You can find more info on Typology on Renés [...]

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