Text search objects will be created after installation of a dictionary module. We can test created configuration:

SELECT * FROM ts_debug('english_hunspell', 'abilities');
   alias   |   description   |   token   |          dictionaries           |    dictionary    |  lexemes  
-----------+-----------------+-----------+---------------------------------+------------------+-----------
 asciiword | Word, all ASCII | abilities | {english_hunspell,english_stem} | english_hunspell | {ability}
(1 row)

Or you can create your own text search configuration. For example, with the created dictionaries and with the Snowball dictionary you can create mixed russian-english configuration:

CREATE TEXT SEARCH CONFIGURATION russian_en (
  COPY = simple
);

ALTER TEXT SEARCH CONFIGURATION russian_en
  ALTER MAPPING FOR asciiword, asciihword, hword_asciipart
  WITH english_hunspell, english_stem;

ALTER TEXT SEARCH CONFIGURATION russian_en
  ALTER MAPPING FOR word, hword, hword_part
  WITH russian_hunspell, russian_stem;

You can create mixed dictionaries only for languages with different alphabets. If languages have similar alphabets then Postgres Pro can not decide which dictionary should be used.

A text search configuration which is created with a dictionary module is ready to use. For example, in this text you can search some words:

SELECT to_tsvector('english_hunspell', 'The blue whale is the largest animal');
               to_tsvector               
-----------------------------------------
 'animal':7 'blue':2 'large':6 'whale':3
(1 row)

Search query might looks like this:

SELECT to_tsvector('english_hunspell', 'The blue whale is the largest animal')
  @@ to_tsquery('english_hunspell', 'large & whale');
 ?column? 
----------
 t
(1 row)

With this configurations you can search a text using GIN or GIST indexes. For example, there is a table with GIN index:

CREATE TABLE table1 (t varchar);
INSERT INTO table1 VALUES ('The blue whale is the largest animal');
CREATE INDEX t_idx ON table1 USING GIN (to_tsvector('english_hunspell', "t"));

For this table you can execute the following query:

SELECT * FROM table1 where to_tsvector('english_hunspell', t)
  @@ to_tsquery('english_hunspell', 'blue & animal');
                  t                   
--------------------------------------
 The blue whale is the largest animal
(1 row)