- it is determined to achieve a real improvement in the situation, and this must be visible by this summer at the latest.
- Kommissionen har inte väntat på att agera, den är fast besluten att uppnå en verklig förbättring av situationen och det måste märkas senast före sommaren.
- This House was then left with no option other than to help establish this fund, but it would have been better if the Council had topped up the Budget with more money for the long-term restructuring and modernisation of, and job creation in, regions and sectors, so the rapporteur, Mrs Bachelot-Narquin, really does deserve gratitude for having - in the face of resistance from both this House and the Council - ensured that a draft with real improvements in it can become, in a single reading, the legal basis for this Fund.
- Parlamentet hade då inget annat alternativ än att inrätta denna fond, men det hade varit bättre om rådet hade toppat budgeten med mer pengar för den långsiktiga omstruktureringen och moderniseringen av, samt skapandet av sysselsättning i, regioner och sektorer, så föredraganden, Roselyne Bachelot-Narquin, förtjänar verkligen tacksamhet för att hon - trots motstånd från både parlamentet och rådet - såg till att ett förslag som innehåller verkliga förbättringar genom en enda behandling kan bli den rättsliga grunden för denna fond.
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 = 14042 AND
t12.lemma_id = 61625 AND
t21.lemma_id = 28403 AND
t22.lemma_id = 61547),
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;
;