sed -e "s/distibuted/distributed/g"

Author: ggreif

index.md

@@ -4,16 +4,16 @@ title: Home
 ---
 Cloud Haskell: Erlang-style concurrent and distributed programming in Haskell.
 The Cloud Haskell Platform consists of a
-[generic network transport API](https://github.com/haskell-distibuted/network-transport),
-libraries for sending [static closures](https://github.com/haskell-distibuted/distributed-process-static) to remote nodes, a rich [API for distributed programming](https://github.com/haskell-distibuted/distributed-process) and a 
-set of [Platform Libraries](https://github.com/haskell-distibuted/distributed-process-platform),
+[generic network transport API](https://github.com/haskell-distributed/network-transport),
+libraries for sending [static closures](https://github.com/haskell-distributed/distributed-process-static) to remote nodes, a rich [API for distributed programming](https://github.com/haskell-distributed/distributed-process) and a 
+set of [Platform Libraries](https://github.com/haskell-distributed/distributed-process-platform),
 modelled after Erlang's [Open Telecom Platform](http://www.erlang.org/doc/).
 
 Generic network transport backends have been developed for
-[TCP](https://github.com/haskell-distibuted/network-transport-tcp) and
-[in-memory](https://github.com/haskell-distibuted/network-transport-inmemory)
+[TCP](https://github.com/haskell-distributed/network-transport-tcp) and
+[in-memory](https://github.com/haskell-distributed/network-transport-inmemory)
 messaging, and several other implementations are available including a transport for
-[Windows Azure](https://github.com/haskell-distibuted/distributed-process-azure). The [wiki](/wiki.html) provides links to a number of resources for learning about the conceptual underpinnings of Cloud Haskell, and some [examples](https://github.com/haskell-distibuted/distributed-process-demos).
+[Windows Azure](https://github.com/haskell-distributed/distributed-process-azure). The [wiki](/wiki.html) provides links to a number of resources for learning about the conceptual underpinnings of Cloud Haskell, and some [examples](https://github.com/haskell-distributed/distributed-process-demos).
 
 Documentation is available on this site for HEAD, or
 [hackage](http://hackage.haskell.org/package/distributed-process) for the current and preceding versions of