- The other structural need derives from the very fact that enlargement is imminent.
- Det andra strukturella behovet härrör från den nära förestående utvidgningen.
- For 2002 we are basically faced with two new structural needs originating from the Nice Summit and not foreseen in Berlin.
- För år 2002 har vi framför allt två nya strukturella behov som härstammar från toppmötet i Nice och som inte förutsågs i Berlin.
- I would like to highlight the fact that the great majority of this Parliament understood both structural needs and supported a joint solution from the outset.
- Jag betonar att en stor majoritet av parlamentet förutsåg båda dessa strukturella behov och stödde en gemensam lösning från allra första början.
- We do not know which new structural needs we will have to deal with between now and 2006 and a degree of flexibility is therefore necessary within the spending categories, while always respecting the principle of maintaining the current financial perspectives which are now entering the third year of their difficult and eventful life.
- Vi vet inte vilka nya strukturella behov vi kommer att ställas inför från och med nu fram till år 2006 och det är därför det är nödvändigt med en viss flexibilitet inom utgiftskategorierna, samtidigt som principen att behålla den nuvarande budgetplanen som nu går in på sitt tredje svåra och ovissa år måste respekteras.
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 = 18487 AND
t12.lemma_id = 21074 AND
t21.lemma_id = 23045 AND
t22.lemma_id = 35683),
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;
;