- Thus it wants to conceal its unilateral political choices through reinforced social dialogue which will safeguard the necessary smooth operation of the European Union as a mechanism of capital and social consent to and/or complicity in its political choices.
- Man vill således dölja sina ensidiga politiska val genom en förstärkt social dialog, som ska se till att EU blir ett smidigt verktyg för kapitalet och säkerställa att samhället samtycker till och är delaktigt i EU:s politiska val.
- Thus it wants to conceal its unilateral political choices through reinforced social dialogue which will safeguard the necessary smooth operation of the European Union as a mechanism of capital and social consent to and/or complicity in its political choices.
- Man vill således dölja sina ensidiga politiska val genom en förstärkt social dialog, som ska se till att EU blir ett smidigt verktyg för kapitalet och säkerställa att samhället samtycker till och är delaktigt i EU:s politiska val.
- It will help the new Commission that this preparatory work has been done and the new Commission can make a political choice on the codes of conduct.
- Det kommer att vara till hjälp för den nya kommissionen att detta förberedande arbete har utförts, och att den nya kommissionen kan göra ett politiskt val beträffande uppförandekoderna.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 4974 AND
t12.lemma_id = 7077 AND
t21.lemma_id = 50771 AND
t22.lemma_id = 55010),
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;
;