- We hope that the application of the social agenda will also give citizens the chance to feel part of social Europe and to realise that the European Union intends to take positive action to continue raising standards of living, rather than merely guaranteeing minimum levels.
- Vi hoppas att tillämpningen av den sociala dagordningen skall ge medborgarna chansen att känna att det sociala Europa står vid deras sida och att de skall inse att Europeiska unionen kommer att vidta positiva åtgärder för att oavbrutet förhöja levnadsstandarden och inte endast trygga en minimumstandard.
- By taking positive action, we can rehouse people in rural areas, re-vitalize rural communities and take some of the pressure off urban areas.
- Genom positiva åtgärder kan vi skapa nya bostäder åt människor på landsbygden, gjuta nytt liv i samhällen på landsbygden och lyfta bort en del av det tryck som ligger på städerna.
- It is also important, in my opinion, to define direct and indirect discrimination, and to establish positive action as a tool for balancing out inequalities, a transitory tool until equality is achieved.
- Dessutom är det enligt min åsikt viktigt att begreppen direkt och indirekt diskriminering definieras och att de positiva åtgärderna instiftas som ett redskap för att utjämna skillnaderna mellan kvinnor och män, som ett övergångsredskap innan man uppnår jämställdhet.
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 = 27518 AND
t12.lemma_id = 62453 AND
t21.lemma_id = 59310 AND
t22.lemma_id = 14546),
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;
;