Ok, I'll play 'nasty little boy' too (I remember!)

Of course I had to try the stemming that is built-in in PostgreSQL's full-text search (FTS). I had'nt used it for a while; so this is just playing with it. Below are results of stemming and the distinction between words and stop-words.

I think this FTS-stuff uses snowball, and I don't know how recent the vocabulary is. (UPDATE: I see regular snowball-related updates (every few months) in the PostgreSQL git log so I now think its snowball stuff is reasonably up-to-date) 


-- Below are three chunks/resultsets:

-- 1. Your text
-- 2. Real words:
--    select .. from ts_debug('german', '$yourtxt')
--    where lexemes > 0
-- 3. Stop-words:
--    select .. from ts_debug('german', '$yourtxt')
--    where lexemes = 0

                     txt                      
----------------------------------------------
 Ich Bin Der Geist, Der Stets Verneint!      +
 Und Das Mit Recht; denn alles, was entsteht,+
 Ist wert, daß es zugrunde geht;             +
 Drum besser wär's, daß nichts entstünde.    +
 So ist denn alles, was ihr Sünde,           +
 Zerstörung, kurz, das Böse nennt,           +
 Mein eigentliches Element.
(1 row)


   alias   |    token     | dictionary  |  lexemes   
-----------+--------------+-------------+------------
 asciiword | Geist        | german_stem | {geist}
 asciiword | Stets        | german_stem | {stet}
 asciiword | Verneint     | german_stem | {verneint}
 asciiword | Recht        | german_stem | {recht}
 asciiword | entsteht     | german_stem | {entsteht}
 asciiword | wert         | german_stem | {wert}
 asciiword | zugrunde     | german_stem | {zugrund}
 asciiword | geht         | german_stem | {geht}
 asciiword | Drum         | german_stem | {drum}
 asciiword | besser       | german_stem | {bess}
 word      | wär          | german_stem | {war}
 asciiword | s            | german_stem | {s}
 word      | entstünde    | german_stem | {entstund}
 word      | Sünde        | german_stem | {sund}
 word      | Zerstörung   | german_stem | {zerstor}
 asciiword | kurz         | german_stem | {kurz}
 word      | Böse         | german_stem | {bos}
 asciiword | nennt        | german_stem | {nennt}
 asciiword | eigentliches | german_stem | {eigent}
 asciiword | Element      | german_stem | {element}
(20 rows)

   alias   | token  | dictionary  | lexemes 
-----------+--------+-------------+---------
 asciiword | Ich    | german_stem | {}
 asciiword | Bin    | german_stem | {}
 asciiword | Der    | german_stem | {}
 asciiword | Der    | german_stem | {}
 asciiword | Und    | german_stem | {}
 asciiword | Das    | german_stem | {}
 asciiword | Mit    | german_stem | {}
 asciiword | denn   | german_stem | {}
 asciiword | alles  | german_stem | {}
 asciiword | was    | german_stem | {}
 asciiword | Ist    | german_stem | {}
 word      | daß    | german_stem | {}
 asciiword | es     | german_stem | {}
 word      | daß    | german_stem | {}
 asciiword | nichts | german_stem | {}
 asciiword | So     | german_stem | {}
 asciiword | ist    | german_stem | {}
 asciiword | denn   | german_stem | {}
 asciiword | alles  | german_stem | {}
 asciiword | was    | german_stem | {}
 asciiword | ihr    | german_stem | {}
 asciiword | das    | german_stem | {}
 asciiword | Mein   | german_stem | {}
(23 rows)

[download]

Not perfect but more useful than I thought it would be without any work.

In reply to Re^2: How to count the vocabulary of an author? by erix
in thread How to count the vocabulary of an author? by karlgoethebier

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