This is the wiki page of ScaleMT, a scalable architecture to provide translation web services based on Apertium and other machine translation engines. It is based on previous works to develop an Apertium web service: Apertium_scalable_service. The web service has two different APIs: XML-RPC, a lightweight remote procedure call method using XML and HTTP, and JSON REST, that allows you to easily use the service from any website.
ScaleMT makes the translation engines more efficient by turning them into daemons (that is, processes running in the background rather than under the interaction of a user). Besides that, it is able to run on multiple servers thanks to an algorithm which decides which daemons should run on each server and a load balancing method that decides which server should process each request. ScaleMT consists of two main Java applications:
- ScaleMTSlave runs on a machine with the translation engine installed and manages a set of running translation engine instances (daemons); it performs the requested translations by sending them to the right daemon.
- ScaleMTRouter (request router) runs on a web server; it processes the translation requests and sends them to the right ScaleMTSlave instance.
The source code can be downloaded from our subversion repository:
svn co http://apertium.svn.sourceforge.net/svnroot/apertium/trunk/scaleMT
Fast set up
To compile the source code you'll need:
- A Java Development Kit compatible with Java version 6. It can be Sun's implementation or any other implementation that follows the specification (see ).
- Maven. If you don't have Maven installed, simply download it, unzip it, and be sure that the bin directory is in your PATH.
Once you are sure you have Java JDK and Maven, you can compile the three projects you have downloaded:
cd ScaleMTRMIInterfaces mvn install
cd ScaleMTSlave mvn package
cd ScaleMTRouter mvn package
Then, configure ScaleMTRouter. To do so, unzip the file ScaleMTRouter.war, present in ScaleMTRouter/target to whichever directory you want:
cd ScaleMTRouter/target unzip ScaleMTRouter.war -d /tmp/mywar/
Go to the directory where you unzipped the file and open the file WEB-INF/classes/configuration.properties with your favourite editor. Change the value of the property requestrouter_rmi_host to the public name of the computer where you are going to run the request router. If you are going to run the router with only a slave on the same machine, you don't need to change this property.
Now, zip the file again:
cd /tmp/mywar zip -r ScaleMTRouter.war *
To install the ScaleMTSlave instances, you have to repeat these steps for each machine you want to act as slave:
Unzip the the file ScaleMTSlave-1.0-assembled.zip, present in ScaleMTSlave/target to the installation directory you have chosen.
Run the script that install Apertium. Be sure that the machine has Internet connection, because the installation script will download Apertium from its SVN repository.
Then run the script installApertiumAndPairs.sh with:
By default it will download and install Apertium and all the stable pairs, and install them under /home/youruser/local. You can change these this options with the following parameters:
- -p Installation_prefix : Changes the installation prefix. If you run the script with the options -p /foo/bar it will install executables under /foo/bar/bin, libraries under /foo/bar/lib, etc.
- -l pair1,pair2,pair3... : Installs only the specified language pairs. The list of pairs must be a subset of the list of stable pairs that can be found in Apertium wiki main page. Note that the language order must be the same that the one in main page, although translators in both ways will be installed, e.g. -p en-es will install translators from Spanish to English and from English to Spanish, but -p es-en won't install any translator. There are pairs that only install a translator in one way, see the arrows in Main page.
When installation is complete, you can safely remove apertium directory. ScaleMTSlave can't work with an existing Apertium installation, because it modifies Apertium modes files.
Once Apertium is installed, it's time to change the last configuration files. Edit ScaleMTSlave-1.0/conf/configuration.properties and change the value of the property requestrouter_host to the public host name of the machine where ScaleMTRouter will run. Additionally, you also have to edit ScaleMTSlave-1.0/conf/translation-engines.xml. If you didn't install all the stable language pairs with the installation script, remove from the <pairs> section all the language pairs that you didn't install. Finally, in the <pipeline> replace /usr/local with the Apertium installation prefix you have chosen.
on the machine where you are going to run ScaleMTRouter to start rmiregistry . Then run ScaleMTRouter by deploying your re-zipped ScaleMTRouter.war in your Java web server. For example, in Apache Tomcat, put that file in the directory called webapps.
Then, run ScaleMTSlave on each of the servers you want to use to perform translations. Use the script run-apertium-server.sh and add a parameter with the name of the host where ScaleMTSlave runs:
bash run-scaleMT.sh hostname
The first time you run it, it will calculate the server's capacity by performing a series of translations and store it in conf/capacity.properties. If you want the system to calculate the capacity each time it starts, use the argument -reCalculateCapacity:
bash run-scaleMT.sh hostname -reCalculateCapacity
After reading or calculating capacity, it contacts ScaleMTRouter and starts to receive translation requests. Of course, servers can be stopped (with Ctrl+C) or started at any time.
- "ScaleMT: a free/open-source framework for building scalable machine translation web services". Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz. Open Source Tools for Machine Translation, MT Marathon 2010, Dublin, Ireland, 2010. The Prague Bulletin of Mathematical Linguistics 93, p. 97-106. [pdf]
- "An open-source highly scalable web service architecture for the Apertium machine translation engine". Víctor M. Sánchez-Cartagena, Juan Antonio Pérez-Ortiz. First International Workshop on Free/Open-Source Rule-Based Machine Translation, Alicante, Spain, 2009, p. 51-58. [pdf]