- If we want our contribution to future debates on the valuation of the agricultural budget to be taken at all seriously, then we should firmly and forthrightly reject this proposal.
- Om vi vill att vårt bidrag i framtida debatter överhuvudtaget ska tas på allvar bör vi bestämt och direkt förkasta förslaget.
- I do so, as I have argued strongly in committee, on the grounds of subsidiarity, in the belief that decisions should be taken at the lowest practical level.
- Jag gör så, som jag har argumenterat i kommittén, på grund av subsidiaritet, i tron att besluten bör tas på den lägsta praktiska nivån.
- In ever more areas - the social sphere, the policy on aliens and fundamental freedoms - we will see how it will be possible to use accession to the Convention on Human Rights as yet another argument in favour of more decisions being taken at EU level, which means fewer decisions being taken by the Member States.
- På allt fler områden - den sociala sfären, invandringspolitiken och grundläggande friheter - kommer vi att se hur det blir möjligt att använda anslutningen till konventionen om de mänskliga rättigheterna som ytterligare ett argument för att fler beslut ska tas på EU-nivå, vilket innebär att färre beslut tas av medlemsstaterna.
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 = 24912 AND
t12.lemma_id = 38254 AND
t21.lemma_id = 30332 AND
t22.lemma_id = 40192),
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;
;