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ling/LinguisticAnalysis.md

@@ -4,24 +4,6 @@ Linguistic analysis
 Instead of compiling the grammatical tools yourself (as described elsewhere on these pages), you may also **download ready-compiled analysers for text analysis**. This page explains how. If you **have** compiled the tools on your machine, we recommend [this page](../tools/docu-sme-manual.md) instead.
 
 
-## Automatic grammatical analysis
-
-**Summary:** When you have downloaded the files (cf. the **Download...** links below), you will be able to run the following command in a terminal window (the language code *sme* is for North Saami, for other languages, see below):
-
-
-```
-cat yourtextfile.txt | hfst-tokenise -cg sme.pmhfst | vislcg3 -g sme.cg3 
-```
-
-
-The textfile is sent through a two-step analysis: First through the morphological analyser **sme.pmhfst**, 
-by using the support program **hfst-tokenise**. The flag *-cg* ensures morphological analysis in the required format. 
-Thereafter the output is disambiguated with the disambiguator sme.cg3, by using the support program vislcg3.
-The flag *-g* identifies the file *sme.cg3* as the grammar file. In order to see more options, you may write
-*hfst-tokenise -h* and *vislcg3 -h*.
-
-You may also conduct automatic dictionary lookup, see below. 
-
 # Download commands
 
 ## 1. Download the required *support programs*
@@ -33,20 +15,26 @@ These commands will download the compilers *hfst* and *vislcg3*. They require a
 **Download on Mac:**
 ```
 curl http://apertium.projectjj.com/osx/install-nightly.sh > install-nightly.sh
+
 chmod a+x install-nightly.sh
+
 sudo ./install-nightly.sh
 ```
 
 
 **Download on Linux ubuntu:**
+
 ```
 wget https://apertium.projectjj.com/apt/install-nightly.sh -O - | sudo bash
+
 sudo apt-get -f install apertium-all-dev
 ```
 
 **Download on Linux fedora:**
+
 ```
 curl https://apertium.projectjj.com/rpm/install-nightly.sh |sudo bash
+
 sudo apt-get -f install apertium-all-devel
 ```
 
@@ -92,6 +80,28 @@ Replace the language code **sme** with the language you want (note! the language
 More languages may be added upon request, from [this list](https://giellalt.github.io/LanguageModels.html).
 
 
+
+# Using the programs
+
+## Automatic grammatical analysis
+
+**Summary:** When you have downloaded the files (cf. the **Download...** links below), you will be able to run the following command in a terminal window (the language code *sme* is for North Saami, for other languages, see below):
+
+
+```
+cat yourtextfile.txt | hfst-tokenise -cg sme.pmhfst | vislcg3 -g sme.cg3 
+```
+
+
+The textfile is sent through a two-step analysis: First through the morphological analyser **sme.pmhfst**, 
+by using the support program **hfst-tokenise**. The flag *-cg* ensures morphological analysis in the required format. 
+Thereafter the output is disambiguated with the disambiguator sme.cg3, by using the support program vislcg3.
+The flag *-g* identifies the file *sme.cg3* as the grammar file. In order to see more options, you may write
+*hfst-tokenise -h* and *vislcg3 -h*.
+
+You may also conduct automatic dictionary lookup, see below. 
+
+
 ## Download other programs
 
 ### dictionaries