- It has substantially cut the time needed for surrender.
- Den har avsevärt minskat den tid som krävs för utlämning.
- It will provide the stable foundation this economy needs for sustainable growth.
- Den kommer att utgöra den stabila grund som krävs för att en hållbar utveckling av ekonomin skall kunna ske.
- For approval of the result of a conciliation, we need a different type of majority than that required for rejecting the common position of the Council.
- För att godkänna ett förlikningsresultat krävs det en annan majoritet än för att avvisa rådets gemensamma ståndpunkt.
- Keep up the spirit of Noordwijk, and try to ensure that the changes made are those we need for enlargement and a stronger role for Parliament.
- Håll fast vid atmosfären från Noordwijk och försök åstadkomma de anpassningar som krävs för utvidgningen och för att väl uppfylla parlamentets roll.
- For that, more time is needed.
- För det krävs det mer tid. Samtidigt får inte konflikterna mellan det aktuella ordförandeskapet och kommissionen vara ett hinder för en ny period av effektiv kontroll av missbruket av nät med alltför små maskor, som kan ge de krympande fiskbestånden möjlighet att återhämta sig.
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 = 18487 AND
t12.lemma_id = 36421 AND
t21.lemma_id = 54050 AND
t22.lemma_id = 64468),
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;
;