- The truth, and this may remove the need for the Members’ procedural motions, is that it was Parliament that decided on Tuesday not to hold the debate.
- Sanningen är den att det var kammaren som på tisdagen beslutade att vi inte skulle ha någon debatt, vilket kanske gör kollegernas ordningsfrågor överflödiga.
- I expect, and this is no more than the application of the Treaty, that the Council will decide on the basis of the Commission’s proposals, because in the first place the Commission has made some very sensible proposals here, and in the second the Treaty itself prescribes that this is the procedure to be followed.
- Jag förväntar mig, och detta är en tillämpning av fördraget, att rådet beslutar på grundval av kommissionens förslag.
- I am grateful that most of you in the Chamber and the speakers in the debate recognised the need for the six elements which will be the European Union’s joint response to the economic crisis and on which the Heads of State or Government, I hope, can decide on Thursday and Friday.
- Jag är tacksam för att de flesta av er här i kammaren och dem som yttrade sig i debatten insåg behovet av de sex beståndsdelarna i Europeiska unionens gemensamma svar på den ekonomiska krisen, vilka stats- och regeringscheferna förhoppningsvis kommer att besluta om på torsdag och fredag.
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 = 30376 AND
t12.lemma_id = 11075 AND
t21.lemma_id = 11227 AND
t22.lemma_id = 40192),
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;
;