- I voted in favour of the joint motion for a resolution on the situation in Palestine.
- Jag röstade för det gemensamma resolutionsförslaget om situationen i Palestina.
- This is why I urge the Council, the Commission and all Member States, on the basis of paragraph 6 of the present joint motion for a resolution, to give our unqualified support to this church initiative.
- Därför ber jag rådet, kommissionen och medlemsstaterna att också ge allt stöd till detta kyrkliga initiativ, som komplement till punkt 6 i det föreliggande gemensamma resolutionsförslaget.
- I supported Amendment 2, tabled on behalf of the ECR Group, to the joint motion for a resolution on the situation in Ukraine, which voices concern that the Nord Stream pipeline project undermines the principle of solidarity in the EU’s energy security and will be constructed to circumvent Ukraine.
- Jag stödde ändringsförslag 2 till det gemensamma resolutionsförslaget om situationen i Ukraina, som lades fram av gruppen Europeiska konservativa och reformister, där man uttrycker oro för att gasledningsprojektet Nord Stream underminerar solidaritetsprincipen när det gäller EU:s energisäkerhet och att den kommer att utformas så att Ukraina kringgås.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 23322 AND
t12.lemma_id = 26513 AND
t21.lemma_id = 34632 AND
t22.lemma_id = 41367),
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;
;