- That is why I hope the House will approve the amendment by the Group of the European People’s Party (Christian Democrats) and European Democrats and the Group of the European Liberal, Democrat and Reform Party which upholds the principle of free and voluntary donation on the one hand, but allows a transitional phase for achieving that principle on the other.
- Därför hoppas jag att kammaren skall godkänna ändringsförslaget från PPE och den liberala gruppen som å ena sidan skyddar principen om frivillighet och frånvaron av ersättning när det gäller bloddonation, men som å den andra medger en övergångsfas för att förverkliga den principen.
- To clarify matters, I wish to say that we have wanted to reach an agreement, and in order to come to an agreement, on Article 16(2) as well, which until recently had actually been disputed merely on account of the wording, we have decided to approve the proposal by the Socialists and Liberals in order to resolve this issue amicably, just as we have also withdrawn a few other amendments for the sake of harmony.
- För att förtydliga vill jag säga att vi har velat nå en överenskommelse, och för att kunna göra det, även om artikel 16.2 som fram till nyligen faktiskt varit omtvistad enbart på grund av formuleringen, har vi beslutat att godkänna förslaget från socialisterna och liberalerna för att kunna lösa problemet i godo.
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 = 8633 AND
t12.lemma_id = 6140 AND
t21.lemma_id = 24137 AND
t22.lemma_id = 58308),
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;
;