- The first allowed the Commission to apply the competition rules in the air transport sector, imposing penalties and granting exemptions, but only in respect of traffic between Member States.
- Den första har givit kommissionen makt att tillämpa konkurrensreglerna inom luftfartssektorn, tillämpa sanktioner och bevilja undantag, men enbart på rutter mellan medlemsstater.
- This is true of unanimous decision-making, which still applies today in many sectors, and it is therefore even more true when it comes to bringing policies up to date, a process which we are unable to tackle now.
- Detta stämmer på beslutsfattande med enhällighet, något som fortfarande tillämpas inom många sektorer, och det stämmer därför i än högre grad när det gäller att anpassa politiken, vilket är en process som vi i dag kan hantera.
- It is not, in my opinion, coherent for the European Parliament, on the one hand, to be responsible for criminal matters and especially for prevention and the fight against terrorism and, on the other, to be excluded from the passing of a number of binding anti-terrorism measures that will be applied in the EU.
- I mitt tycke är det inte rimligt att Europaparlamentet å ena sidan ansvarar för brottsbekämpning och särskilt för förebyggande och bekämpning av terrorism och å andra sidan utestängs från beslutandet av ett antal bindande åtgärder mot terrorism som kommer att tillämpas inom EU.
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 = 63229 AND
t12.lemma_id = 8748 AND
t21.lemma_id = 32869 AND
t22.lemma_id = 15813),
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;
;