- We are all Europeans and decisions made in this House are made in the interest of Europe as a whole - this is not an intergovernmental institution.
- Vi är alla européer och beslut som tas i denna kammare tas i Europas intresse som en helhet - detta är inte en mellanstatlig institution.
- We are all Europeans and decisions made in this House are made in the interest of Europe as a whole - this is not an intergovernmental institution.
- Vi är alla européer och beslut som tas i denna kammare tas i Europas intresse som en helhet - detta är inte en mellanstatlig institution.
- In the opinion accepted unanimously by the Committee on Civil Liberties, Justice and Home Affairs, of which I have been the draftsman, I have, in addition to the questions raised by the Commission, emphasised the rights of children and of national minorities, and most of these issues have made their way, in the form of a compromise solution, into our report as well, thanks to the good will of the rapporteur, Mr Moscovici.
- I det yttrande som antogs enhälligt av utskottet för medborgerliga fri- och rättigheter samt rättsliga och inrikes frågor, för vilket jag har varit föredragande, har jag förutom de frågor som kommissionen har tagit upp också betonat barnens och de nationella minoriteternas rättigheter, och de flesta av dessa frågor har tagits med i vårt betänkande i form av en kompromisslösning tack vare föredragande Pierre Moscovicis goda vilja.
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 = 13701 AND
t12.lemma_id = 8748 AND
t21.lemma_id = 30332 AND
t22.lemma_id = 26495),
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;
;