- We need a substantial framework which can cover all issues and provide clear answers.
- Vi behöver en stabil och heltäckande ram som ger oss tydliga svar.
- Mr President, honourable Members, I will also attempt to provide specific answers to the main subjects.
- Jag ska också försöka ge specifika svar på de viktigaste frågorna.
- That is why, in my opinion, today’s debate on whether the European Union should expand further is academic, as the Maastricht Treaty provides the answer.
- Därför är dagens debatt om huruvida EU borde utvidgas ytterligare enligt min åsikt akademisk, eftersom Maastrichtfördraget ger svaret.
- The CARS 21 High Level Group was a missed opportunity to put in place a vision of a sustainable automotive industry, a vision that provides an answer to the real challenges.
- Högnivågruppen CARS 21 var ett missat tillfälle att utforma en vision om en hållbar bilindustri, en vision som ger svar på de verkliga utmaningarna.
- Europe must use the next Multiannual Financial Framework (MFF) to provide definite answers to the citizens, who have been suffering from the economic crisis for too long now, and to ensure robust long-term growth.
- Under nästa fleråriga budgetram måste EU ge definitiva svar till sina medborgare som nu alltför länge har lidit av den ekonomiska krisen, och se till att vi får en kraftfull långsiktig tillväxt.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 7410 AND
t12.lemma_id = 29787 AND
t21.lemma_id = 54254 AND
t22.lemma_id = 50321),
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;
;