- I therefore urge the European Parliament to adopt the report on which we shall be voting tomorrow morning, in the form in which it was adopted by the Committee on Fisheries, including the positive mandatory opinions of the Committee on Legal Affairs and Citizens’ Rights and the Committee on Development and Cooperation.
- Med ovanstående motiveringar, så som det har antagits i fiskeriutskottet och med de föreskrivande positiva åsikterna från utskottet för rättsliga frågor och medborgarrätt å ena sidan och utskottet för utveckling och samarbete, å den andra, yrkar jag på bifall från Europaparlamentets kammare för det refererade betänkandet som vi skall rösta om imorgon.
- Mr President, ladies and gentlemen, the Commission shares the positive opinion you have expressed on the functioning of the codecision procedure to date and, in particular, on the fruitful result of the work carried out by the Conciliation Committee in those cases in which it has taken measures to reach an agreement.
- Kommissionen delar den positiva åsikt ni har framfört vad gäller hur det medbeslutandeförfarandet har fungerat fram till i dag och framför allt när det gäller det mycket konstruktiva arbete som har utförts av förlikningskommittén i de fall där denna kallats in för att försöka komma fram till en gemensam ståndpunkt.
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 = 45417 AND
t12.lemma_id = 62453 AND
t21.lemma_id = 9847 AND
t22.lemma_id = 14546),
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;
;