Stindberg Speaks

Saturday, March 15, 2008 Saturday, March 15, 2008

A very quick post today: I stumbled into a very interesting post by SLEntrepreneur, who interviewed my pal, SL translator extraordinary Peter Stindberg. Peter discusses various aspects of his translation business, which I believe will be of interest to Second Effects readers... at least the business types, anyway.

4 comments:

Louis Platini said...

I'm not seeing these percentages.

I'm analyzing the profiles of SL avatars and the percentages of the languages spoken in SL are somewhat different:

http://www.metaverse-business.com/avatarlanguage.php

Mainly the percentage of people that speak french is much higher.

ArminasX said...

Very interesting chart, using a completely different analysis technique. Evidently the "official" Linden technique might be to map country-of-origin to language. But your method is probably better, since the SL residents declare their languages in their profile. Peter, are you reading this? Which percentages do you see in your business?

Peter Stindberg said...

I took the official metrics posted by LL, and then did a breakup on countries. For example Belgium is like 45% Dutch, 45% French and 10% German, Switzerland is like 60% German and 40% French. I also accounted for a certain amount of Spanish speaking population in the US, and French speaking population in Canada.

Admittedly my statistics is some guesswork, but from my travels inside SL it seems pretty accurate.

I don't think user's profiles are a reliable source. In my close circle of friends, for example, there are 3 Germans not listing German at all in their profiles, but only English. Judging from Avatar profiles alone will give English an "unfair" advantage.

Louis Platini said...

It is difficult to know what a reliable source is because:
- the method used by Peter gives information about the *first* language of residents.
- scanning profiles gives information about all languages spoken by residents
- we don't know if the profiles that have no languages information distort the overall statistics.

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