- We can never create a Europe for its citizens if these ingredients are not also present.
- Vi kan aldrig skapa ett Europa för medborgarna om inte dessa ingredienser också finns med.
- This is another area where the public interest demands that tangible progress be made, especially towards creating social Europe.
- Även här måste i medborgarnas intresse konkreta framsteg göras, särskilt för att skapa ett socialt Europa.
- If they are serious about Europe and creating a Europe of states and peoples, then we must ensure that equality, cohesion and solidarity rule right across the Union.
- Om de menar allvar med Europa och med att skapa ett Europa av stater och folk, måste vi se till att jämlikhet, sammanhållning och solidaritet råder i hela unionen.
- This, therefore is our destiny, and our task is to create a Europe which is increasingly able to play a proper role.
- Detta är med andra ord den stora utmaningen för framtiden, där vår uppgift blir att skapa ett Europa som hela tiden får bättre möjligheter att spela en roll.
- Today’s young people are going to create the Europe of the future, so we must make sure they develop properly, and we must help them make the best use of the opportunities the Union offers.
- Dagens ungdomar kommer att skapa framtidens Europa, och därför måste vi se till att de utvecklas som sig bör och vi måste hjälpa dem att på bästa sätt utnyttja det som EU erbjuder.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 53153 AND
t12.lemma_id = 52028 AND
t21.lemma_id = 7376 AND
t22.lemma_id = 50604),
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;
;