- It may not be possible to approve them at a single reading.
- Det kanske inte blir möjligt att godkänna dem vid en enda behandling.
- These reforms mean a budget increase, but within the line approved at the Berlin European Summit.
- Denna reform innebär en ökning av budgeten men ligger inom ramen för den budgetpost som godkändes vid det europeiska toppmötet i Berlin.
- The Council viewed its draft directive as a well-balanced document promoting employee protection, and hoped it would also prove acceptable to Parliament, which was expected to approve it at the second reading.
- Rådet såg utkastet till direktiv som ett välbalanserat dokument som främjar skyddet för arbetstagarna och hoppades att det skulle vara godtagbart för parlamentet, som förväntades godkänna det vid andra behandlingen.
- For this reason, it is important that at the March Summit six prime ministers, namely those of the Czech Republic, Denmark, Finland, France, Hungary and Sweden, approved the European Pact for Gender Equality, which extends the perspectives of equal opportunity to our collaboration with the Commission as well.
- Därför är det betydelsefullt att sex premiärministrar och statsministrar, de från Tjeckien, Danmark, Finland, Frankrike, Ungern och Sverige, vid toppmötet i mars godkände den europeiska jämställdhetspakten, som innebär att jämställdhetsperspektivet utsträcks till att även omfatta vårt samarbete med kommissionen.
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 = 38254 AND
t21.lemma_id = 24137 AND
t22.lemma_id = 50540),
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;
;