- The proposal is currently being dealt with by the Council’s departments.
- Förslaget behandlas av rådets instanser för tillfället.
- This is not an issue that should be dealt with by the European Parliament.
- Detta är inte en fråga som skall behandlas av EU-parlamentet.
- However, as has already been said, this question must be dealt with by the technical experts and later by the courts.
- Som vi redan har fått höra så kommer denna fråga att behandlas av sakkunniga tekniker och, i ett senare skede, i domstol.
- Mr President, ladies and gentlemen, it is my pleasure today to inform you about three important matters dealt with by the Commission.
- Jag har i dag nöjet att informera er om tre viktiga frågor som har behandlats av kommissionen.
- This clearly illustrates, therefore, that this reorganisation is a European matter that should be dealt with by the European works council.
- Detta är ett tydligt bevis för att omorganiseringen är en europeisk fråga som bör behandlas av det europeiska företagsrådet.
- The new Commission will no doubt increase the number of legislative proposals that are to be dealt with by the Council and the European Parliament and the number of items will then increase.
- Den nya kommissionen kommer säkert att öka antalet lagstiftningsförslag som ska behandlas av rådet och Europaparlamentet och då kommer antalet punkter att stiga.
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 = 12650 AND
t12.lemma_id = 6140 AND
t21.lemma_id = 18246 AND
t22.lemma_id = 3216),
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;
;