- I would therefore appeal to the House to support my two reports, just as they were adopted by a broad majority in the Committee on the Environment, Public Health and Consumer Policy.
- Jag vädjar därför till kammaren om stöd för mina två betänkanden så som de med bred majoritet antogs i miljöutskottet.
- That is why I would ask you for your support in tomorrow’s vote so that we secure a broad majority in favour of progress in our European media policy.
- Därför vill jag be om ert stöd vid morgondagens omröstning, så att vi kan säkra en bred majoritet för att föra vår europeiska mediepolitik framåt.
- I think that a sound solution has been reached for all concerned on the basis of a compromise, and I hope that tomorrow we will be able to endorse this compromise with a broad majority.
- Jag anser att kompromissen utgör en bra lösning för alla berörda, och jag hoppas att vi i morgon kan godkänna den med bred majoritet.
- By so doing, we will also be showing with a broad majority that we are ready, minded and determined to co-decide in this matter, because we believe it concerns the single market.
- Genom att göra det visar vi dessutom med bred majoritet att vi är beredda att medbesluta i denna fråga, eftersom vi anser att det gäller den inre marknaden.
- I should like to remind you of the fact that this exclusion has been brought about as a result of the decision taken by a broad majority in this House, a decision in which both the Commission and the Council gave us their unanimous backing.
- Jag vill påminna er om att vårdtjänsterna har undantagits till följd av det beslut som fattats av en bred majoritet här i parlamentet, ett beslut som både kommissionen och rådet gav sitt enhälliga stöd.
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
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WHERE
s1.val = 'amod' AND
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t22.ctag = 'ADJ' AND
t11.lemma_id = 10598 AND
t12.lemma_id = 40903 AND
t21.lemma_id = 35937 AND
t22.lemma_id = 30824),
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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
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JOIN token ON token_id = t21
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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' ||
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'' ORDER BY token_id ASC) AS s
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sentences
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ORDER BY w DESC, i, n;
;