- The historical processes, as in this case, cannot be suffocated by sectarian and factious attitudes and it is an irony of history - and we are delighted at this - that today it is the Labour leaders who are giving us assurances on the constructiveness of their action to the advantage of Europe.
- Historiska processer, som i detta fall, kan inte kvävas av sekteristiskt och illasinnat beteende och historien hämnas nu - och vi gläds - genom att det just är de ansvarskännande labourpolitikerna som försäkrar oss om att de kommer att vara konstruktiva i sitt arbete till fördel för Europa.
- It is already thinking of diverting resources to the south, taking inspiration from the usual practice, that should certainly favour the great capital, that has deindustrialized the north and which creates virtual businesses in the south where there is no independent growth, because the slightest real business activity is suffocated by the Mafia world.
- Knappt har den italienska staten kommit med i Europasamarbetet förrän man börjar fundera på att föra över resurser till Syditalien, som vanligt i utbyte mot röster, ett system som utan tvekan tjänar storkapitalets intressen och som leder till att Norditalien avindustrialiseras och att man skapar virtuella företag i Mezzogiorno, där det inte finns en självständig tillväxt, eftersom den minsta skymt av entreprenörsanda kvävs av de olika maffiaorganisationerna.
show query
SET search_path TO f9miniensv;
WITH
list AS (SELECT
t11.token_id AS t11,
t12.token_id AS t12,
t21.token_id AS t21,
t22.token_id AS t22,
r1.dep_id AS dep1,
r2.dep_id AS dep2
FROM
deprel r1
JOIN depstr s1 ON s1.dep_id = r1.dep_id
JOIN word_align a1 ON a1.wsource = r1.head AND a1.wsource < a1.wtarget
JOIN word_align a2 ON a2.wsource = r1.dependent
JOIN deprel r2 ON r2.head = a1.wtarget AND r2.dependent = a2.wtarget
JOIN depstr s2 ON s2.dep_id = r2.dep_id
JOIN token t11 ON t11.token_id = r1.head
JOIN token t21 ON t21.token_id = r2.head
JOIN token t12 ON t12.token_id = r1.dependent
JOIN token t22 ON t22.token_id = r2.dependent
WHERE
s1.val = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 12240 AND
t12.lemma_id = 6140 AND
t21.lemma_id = 8333 AND
t22.lemma_id = 3216),
stats AS (SELECT
sentence_id,
count(DISTINCT token_id) AS c,
count(*) AS c_aligned,
count(DISTINCT wtarget) AS c_target
FROM
token
LEFT JOIN word_align ON wsource = token_id
WHERE
sentence_id IN (
SELECT sentence_id
FROM
list
JOIN token ON token_id IN(t11, t21)
)
GROUP BY sentence_id),
numbered AS (SELECT row_number() OVER () AS i, *
FROM
list),
sentences AS (SELECT *, .2 * (1 / (1 + exp(max(c) OVER (PARTITION BY i) - min(c) OVER (PARTITION BY i)))) +
.8 * (1 / log(avg(c) OVER (PARTITION BY i))) AS w
FROM
(
SELECT i, 1 AS n, sentence_id, ARRAY[t11,t12] AS tokens
FROM
numbered
JOIN token ON token_id = t11
UNION SELECT i, 2 AS n, sentence_id, ARRAY[t21,t22] AS tokens
FROM
numbered
JOIN token ON token_id = t21
) x
JOIN stats USING (sentence_id)
ORDER BY i, n)
SELECT
i,
n,
w,
c,
c_aligned,
c_target,
sentence_id,
string_agg(CASE WHEN lpad THEN ' ' ELSE '' END || '<span class="token' ||
CASE WHEN ARRAY[token_id] <@ tokens THEN ' hl' ELSE '' END || '">' || val || '</span>',
'' ORDER BY token_id ASC) AS s
FROM
sentences
JOIN token USING (sentence_id)
JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;