- Mr President, I would like to add my voice to those giving a positive opinion of the discharge for 2006.
- Jag skulle vilja ansluta mig till dem som ger ett positivt yttrande om ansvarsfriheten för 2006.
- Lastly, I would note the positive opinion of the Court of Auditors concerning the accounts, which reassures the European public that the Union budget is being appropriately and rigorously managed.
- Slutligen vill jag ta upp revisionsrättens positiva yttrande om räkenskaperna, vilket försäkrar den europeiska allmänheten om att EU-budgeten övervakas korrekt och noggrant.
- The Committee on Economic and Monetary Affairs took the view that a resolution by Parliament was not necessary for that opinion, and Mrs Berès, chairman of that committee, has sent a letter to the President of Ecofin expressing the Committee on Economic and Monetary Affairs’ positive opinion of the technical adaptations to be carried out.
- Utskottet för ekonomi och valutafrågor ansåg att en resolution från parlamentet inte var nödvändig för detta yttrande, och utskottets ordförande Pervenche Berès skickade en skrivelse till Ekofinrådets ordförande, där hon uttryckte utskottets positiva yttrande beträffande de tekniska anpassningar som skulle genomföras.
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 = 31845 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;
;