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user:zeman:addicter [2010/02/22 13:26] zeman How to install and configure Apache. |
user:zeman:addicter [2011/07/16 17:39] zeman Dan's Perl libraries are needed to run Addicter. |
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- | The work on Addicter has started at the MT Marathon 2010 in Dublin, within a broader 5-day project called Failfinder (Dan Zeman, Ondřej Bojar, Martin Popel, David Mareček, Jon Clark, Ken Heafield, Qin Gao, Loïc Barrault). The code that resulted from the project can be freely downloaded from https:// | + | The work on Addicter has started at the MT Marathon 2010 in Dublin, within a broader 5-day project called Failfinder (Dan Zeman, Ondřej Bojar, Martin Popel, David Mareček, Jon Clark, Ken Heafield, Qin Gao, Loïc Barrault). The code that resulted from the project can be freely downloaded from https:// |
- | Currently, Addicter can view and browse | + | In 2011, the viewer was accompanied by an automatic error recognizer and classifier, thanks to Mark Fishel. The development has been moved to ÚFAL StatMT SVN repository (i.e. '' |
+ | |||
+ | Currently, Addicter can do the following: | ||
+ | * Find erroneous tokens | ||
+ | * Browse the test data, sentence by sentence, and show aligned source sentence, reference translation and system hypothesis. | ||
+ | * Browse | ||
+ | * Show lines of the phrase table that contain a given word. | ||
+ | * Summarize | ||
+ | * In the near future, we also plan to add searching and grouping of words sharing the same lemma. That way morphological errors will be highlighted. | ||
+ | |||
+ | The viewing and browsing is performed using a web server that generates web pages dynamically (to avoid pre-generating millions of static HTML documents). Words in sentences are clickable so that the user can quickly navigate to examples and summaries of other than the current word. The obvious drawback is that access to a web server is needed. A small subset can be also generated as static HTML files and viewed without a web server: the test data browser. | ||
+ | |||
+ | There is another subpage for Addicter in this wiki that lies in the external name space, thus it can be used for [[external: | ||
===== Installation ===== | ===== Installation ===== | ||
* Install a web server, unless you already have access to one (local or remote). For instance, the Apache web server is available for at least Linux and MS Windows, and it's free. Configure your web server to work with CGI scripts written in Perl. | * Install a web server, unless you already have access to one (local or remote). For instance, the Apache web server is available for at least Linux and MS Windows, and it's free. Configure your web server to work with CGI scripts written in Perl. | ||
- | * To be able to generate alignments that will be displayed by Addicter, you need Giza++ or equivalent. The first training few steps of the Moses suite will do. | + | * To be able to generate alignments that will be displayed by Addicter, you need [[http:// |
- | * Check out Addicter code from the Failfinder | + | * Check out Addicter code from the ÚFAL SVN repository |
==== How to install and configure Apache ==== | ==== How to install and configure Apache ==== | ||
+ | |||
+ | === Microsoft Windows === | ||
This tutorial currently focuses on installing Apache HTTP Server on Microsoft Windows. If you are experienced user of another operating system and wish to share advice, please feel free to [[mailto: | This tutorial currently focuses on installing Apache HTTP Server on Microsoft Windows. If you are experienced user of another operating system and wish to share advice, please feel free to [[mailto: | ||
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* Under Windows, you will also want to set < | * Under Windows, you will also want to set < | ||
* Restart the server. On the main Windows panel, there is (typically in the lower right corner) a set of icons, including a new one for Apache. Right-click on it, select Open Apache Monitor, then Restart. | * Restart the server. On the main Windows panel, there is (typically in the lower right corner) a set of icons, including a new one for Apache. Right-click on it, select Open Apache Monitor, then Restart. | ||
+ | |||
+ | === Ubuntu Linux === | ||
+ | |||
+ | Install the Apache HTTP server package. After successful installation, | ||
+ | |||
+ | < | ||
+ | ScriptAlias /cgi-bin/ / | ||
+ | < | ||
+ | AllowOverride None | ||
+ | Options +ExecCGI -MultiViews +SymLinksIfOwnerMatch | ||
+ | Order allow,deny | ||
+ | Allow from all | ||
+ | </ | ||
+ | </ | ||
+ | |||
+ | Either create a copy of the section with new alias and path (eg. '' | ||
+ | |||
+ | ==== How to install Addicter ==== | ||
+ | |||
+ | We use '' | ||
+ | |||
+ | * Addicter uses some general-purpose Perl libraries that are maintained in a separate repository. Download these first, using username '' | ||
+ | export PERL5LIB=~/ | ||
+ | * Check out the current version of Addicter from the StatMT SVN repository, again using username '' | ||
+ | * There are two subfolders, '' | ||
+ | * For every experiment whose data shall be explored by addicter, create a subfolder in '' | ||
===== Alignment viewer ===== | ===== Alignment viewer ===== | ||
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* '' | * '' | ||
- | The indexer splits the output index into multiple files in order to reduce size of any individual file. All index files must be stored in the same folder | + | <!--The '' |
+ | |||
+ | The indexer splits the output index into multiple files in order to reduce size of any individual file. All index files must be stored in the experiment subfolder of '' | ||
+ | |||
+ | ==== How to prepare a corpus for viewing ==== | ||
+ | |||
+ | We assume that your corpus is already sentence-aligned and tokenized. I.e., source and target files have the same number of lines (sentences, segments), and tokens (words, punctuation) on each line are space-separated. If you are using Addicter to perform analysis of errors made by a machine translation system, you probably already have such a corpus. You may also want to use a lowercased version of your corpus. Unless stated otherwise, all files are supposed to be plain text files in the UTF-8 encoding. | ||
+ | |||
+ | You will also need some alignment files that define bi-directional word alignments. If you have trained a statistical MT system such as Moses, chances are that you already have such files for the training data. They result from the first three steps of the Moses training pipeline, namely from two runs of Giza++ and an alignment symmetrization algorithm. In order to get alignments for test data, too, you can do the following: | ||
+ | |||
+ | * Join the source training file with the source test file. Similarly, join the target sides of the two data sets. | ||
+ | * Re-run Giza++ over the joint corpus. | ||
+ | * The resulting alignment file has the same number of lines as the source and the target side of the corpus. By cutting off the last N lines, you easily separate the training and test alignments from each other. | ||
+ | * Alternatively, | ||
+ | |||
+ | Once all the input files are ready, the indexer is invoked as follows: | ||
+ | |||
+ | < | ||
+ | -trs train.en -trt train.hi -tra train.ali \ | ||
+ | -s test.en -r test.hi -h test.system.hi -ra test.ali -ha test.system.ali \ | ||
+ | -o $CGI</ | ||
+ | |||
+ | The indexer will copy the input files and output all index files into the '' | ||
+ | |||
+ | ==== How to invoke the error classifier ==== | ||
+ | |||
+ | The error classifier currently uses its own monlingual word-alignment of reference translation and the hypothesis. It is invoked as follows: | ||
+ | |||
+ | <code bash> | ||
+ | ${ADDICTER}/ | ||
+ | ${ADDICTER}/ | ||
+ | |||
+ | Place the files '' | ||
+ | |||
+ | ==== How to use the viewer ==== | ||
+ | |||
+ | Now if your web server is running and configured properly and your index and data files have been prepared in the correct place, launch your web browser and point it to http:// | ||
+ | |||
+ | ===== Acknowledgements ===== | ||
+ | |||
+ | This research has been supported by the grant of the Czech Ministry of Education no. MSM0021620838 (2010), by the grants of the Czech Science Foundation no. P406/ |