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external:tectomt:tutorial [2009/01/21 21:52]
kravalova 		external:tectomt:tutorial [2009/01/21 21:53]
kravalova
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   * 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. 
   * Trees are formed by nodes and edges. Attributes can be attached only to nodes. Edge's attributes must be equivalently stored as the lower node's attributes. Tree's attributes must be stored as attributes of the root node.   * Trees are formed by nodes and edges. Attributes can be attached only to nodes. Edge's attributes must be equivalently stored as the lower node's attributes. Tree's attributes must be stored as attributes of the root node.
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                 SEnglishW_to_SEnglishM::Sentence_segmentation_simple \                 SEnglishW_to_SEnglishM::Sentence_segmentation_simple \
                 SEnglishW_to_SEnglishM::Penn_style_tokenization \                 SEnglishW_to_SEnglishM::Penn_style_tokenization \
-                SEnglishW_to_SEnglishM::TagTnT \+                SEnglishW_to_SEnglishM::TagMxPost \
                 SEnglishW_to_SEnglishM::Lemmatize_mtree \                 SEnglishW_to_SEnglishM::Lemmatize_mtree \
                 SEnglishM_to_SEnglishA::McD_parser_local \                 SEnglishM_to_SEnglishA::McD_parser_local \

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