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external:tectomt:tutorial [2009/01/20 16:58]
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external:tectomt:tutorial [2009/01/20 17:10]
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| This tutorial itself has its blocks in ''libs/blocks/Tutorial'' and the application in ''applications/tutorial''. | This tutorial itself has its blocks in ''libs/blocks/Tutorial'' and the application in ''applications/tutorial''. |
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| //Example//: Block adding Czech morphological tags (pos, case, gender, etc.) can be found in ''libs/blocks/SCzechW_to_SCzechM/Simple_tagger.pm''. | //Example//: Block adding Czech morphological tags (pos, case, gender, etc.) can be found in ''libs/blocks/SCzechW_to_SCzechM/Simple_tagger.pm''. |
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| There are also other directories for other purpose blocks, for example blocks which only print out some information go to ''libs/Print''. Our tutorial blocks are in ''libs/Tutorial''. | There are also other directories for other purpose blocks, for example blocks which only print out some information go to ''libs/Print''. Our tutorial blocks are in ''libs/blocks/Tutorial''. |
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| ===== First application ===== | ===== First application ===== |
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| Once you have TectoMT installed on your machine, you can find this tutorial in ''applications/tutorial/''. After you cd in to this directory, you can see our plain text sample data in ''sample.txt''. | Once you have TectoMT installed on your machine, you can find this tutorial in ''applications/tutorial/''. After you ''cd'' into this directory, you can see our plain text sample data in ''sample.txt''. |
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| Most applications are defined in Makefiles, which describe sequence of blocks to be applied on our data. In our particular ''Makefile'', four blocks are going to be applied on our sample text: sentence segmentation, tokenization, tagging and lemmatization. Since we have our input text in plain text format, the file is going to be converted into ''tmt'' format beforehand (the ''in'' section). | Most applications are defined in Makefiles, which describe sequence of blocks to be applied on our data. In our particular ''Makefile'', four blocks are going to be applied on our sample text: sentence segmentation, tokenization, tagging and lemmatization. Since we have our input text in plain text format, the file is going to be converted into ''tmt'' format beforehand (the ''in'' target in the Makefile). |
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| We can run the application: | We can run the application: |
| </code> | </code> |
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| Our plain text data ''sample.txt'' have been transformed into ''tmt'', internal TectoMT format, and saved into ''sample.tmt''. Then, all four blocks have been loaded and our data has been processed. We can now examine ''sample.tmt'' using a regular text editor. We'll now stop and describe data structure in TectoMT. | Our plain text data ''sample.txt'' have been transformed into ''tmt'', an internal TectoMT format, and saved into ''sample.tmt''. Then, all four blocks have been loaded and our data has been processed. We can now examine ''sample.tmt'' using a regular text editor. We'll now stop and describe data structure in TectoMT. |
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| * One physical file corresponds to one document. | * One physical ''tmt'' file corresponds to one document. |
| * A document consists of a sequence of bundles (''<bundle>''), mirroring a sequence of natural language sentences originating from the text. So, for one sentence we have one ''<bundle>''. | * A document consists of a sequence of bundles (''<bundle>''), mirroring a sequence of natural language sentences originating from the text. So, for one sentence we have one ''<bundle>''. |
| * Each bundle contains tree shaped sentence representations on various linguistic layers. In our example ''sample.tmt'' we have morphological tree (''SEnglishM'') in each bundle. Later on, also an analytical layer (''SEnglishA'') will appear in each bundle as we proceed with our analysis. | * Each bundle contains tree shaped sentence representations on various linguistic layers. In our example ''sample.tmt'' we have morphological tree (''SEnglishM'') in each bundle. Later on, also an analytical layer (''SEnglishA'') will appear in each bundle as we proceed with our analysis. |
