- It is already a paper tiger - we can throw it in the waste paper basket today if you will not debate the substance of it with us more forcefully.
- Det är redan en papperstiger - vi kan kasta det i papperskorgen i dag om ni inte vill lägga mer krut på att diskutera innehållet i det med oss.
- we would examine, as planned, Commissioner Van den Broek’s communication on this item until 4 p.m., then we would have half an hour of questions to Commissioner Kinnock, who has been good enough to make himself available to debate this communication with us.
- vi granskar såsom planerat meddelandet från kommissionsledamot Van den Broek om det ärende som var uppsatt på föredragningslistan, fram till kl. 16, därefter får vi en halvtimme med frågor och svar till kommissionsledamot Kinnock, som haft vänligheten att göra sig fri för att diskutera detta meddelande med oss.
- This needs to be debated in parliaments, with national public opinion and with the governments of the Member States, and we need to dialogue with the European Central Bank without fear, with respect and with satisfaction, given the way in which the European Central Bank exercises its independence.
- Det måste diskuteras i parlamenten, med allmänheten i de olika länderna och med medlemsstaternas regeringar, och vi behöver föra en dialog med Europeiska centralbanken utan fruktan, med respekt och med tillfredsställelse, med tanke på hur ECB utövar sin självständighet.
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 = 58987 AND
t12.lemma_id = 12425 AND
t21.lemma_id = 9895 AND
t22.lemma_id = 57357),
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;
;