- When I listened earlier to my Swedish colleague, it sounded as though it was a problem for the European economy to have low interest rates.
- När jag lyssnade på min svenska kollega tidigare lät det som om ett lågt ränteläge är ett problem för EU:s ekonomi.
- Finally, I would just like to draw the attention of my Swedish colleagues to the fact that there is a mistake in the report in paragraph 1, where it says in the Swedish version that Parliament regrets (beklagar) the flat-rate processing coefficients.
- Slutligen vill jag bara uppmärksamma mina svenska kolleger på att det finns ett fel i betänkandet under punkt 1, där det i den svenska versionen står att parlamentet beklagar de fasta bearbetningskofficienterna;
- Fortunately my Swedish colleague, Mrs Theorin, made sure that the report in its final form would make it clear that only when all the applicant countries were lined up at the same starting point and the negotiations had got underway would consideration be given to which countries best met the conditions for accession.
- Lyckligtvis har min svenska kollega, Theorin, sett till att det i det slutliga betänkandet klargörs att först när alla ansökarländer står uppställda på samma startlinje och anslutningsförhandlingarna har kommit i gång, kan man börja med att ta ställning till vilka länder det är som bäst uppfyller villkoren för anslutning.
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 = 40606 AND
t12.lemma_id = 62982 AND
t21.lemma_id = 44020 AND
t22.lemma_id = 49762),
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;
;