- I welcome the agreement on the Icesave legislation.
- Jag välkomnar överenskommelsen om Icesavelagstiftningen.
- I therefore welcome the agreement reached between Parliament and the Council to establish a common legal framework in the 27 Member States to limit the risk of falsified medicines.
- Jag välkomnar därför den överenskommelse som nåtts mellan parlamentet och rådet om att inrätta ett gemensamt regelverk i de 27 medlemsstaterna för att begränsa risken med förfalskade läkemedel.
- I therefore also welcome the agreement reached in Lisbon to introduce a benchmarking system so as to promote the best of the many ways of encouraging risk capital and to make further progress in this area.
- Därför välkomnar jag också överenskommelsen från Lissabon om att införa benchmarking för att lägga hela raden av de bästa modellerna till stöd för riskkapitalet på bordet, så att vi skall kunna komma vidare.
- Europe is fighting to good effect, and I welcome the agreement reached yesterday on reduced VAT rates for the catering and construction sectors, on the introduction of real supervision of the financial markets, on saving jobs, on maintaining or restoring confidence and on ensuring a future for Europeans.
- EU kämpar väl, och jag välkomnar de överenskommelser som nåddes i går om reducerade momssatser för cateringsektorn och byggsektorn, om att upprätthålla och återställa förtroendet och om att säkra en framtid för européerna.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 42374 AND
t12.lemma_id = 57157 AND
t21.lemma_id = 35818 AND
t22.lemma_id = 63061),
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;
;