- Meanwhile, the radical Members will vote wholeheartedly for Mrs Swiebel’s report.
- Under tiden kommer de radikala ledamöterna att med övertygelse rösta för Swiebels betänkande.
- We radical Members condemn the fact that, all too often, the failure of the European institutions to take action in the field of respect for human rights, both in third countries and the countries of the Union, has serious, catastrophic implications for the citizens and for the institutions themselves.
- Vi radikala ledamöter har sedan länge hävdat att bristen på handling i fråga om mänskliga rättigheter från de europeiska institutionernas sida alltför ofta, både i tredje land och i unionens länder, är allvarlig och katastrofal för medborgarna och institutionerna själva.
- I am not, of course, saying that I support or do not support his political ideals - if there is anyone in this Parliament who can be counted on to vote differently from the rest of the House it is precisely the radical Members - but that this is a question of upholding Parliament’s dignity.
- Det handlar naturligtvis heller inte om huruvida man delar hans idéer eller ej - jag tror att om det finns några i detta parlament som röstar mot honom i alla frågor är det just de radikala ledamöterna - utan om att försvara parlamentets värdighet.
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 = 43826 AND
t12.lemma_id = 35619 AND
t21.lemma_id = 36182 AND
t22.lemma_id = 29654),
stats AS (SELECT
sentence_id,
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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
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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;
;