- It is an unfortunate confusion of different issues which ought not to have happened.
- Det är en olycklig sammanblandning av olika frågor som inte borde ha skett.
- We have taken this message very seriously indeed and it is exceptional that the Commission has acted so quickly and so consistently with six different legislative proposals within a year covering very different issues.
- Vi har tagit detta budskap mycket allvarligt och det är ovanligt att kommissionen har agerat så snabbt och så konsekvent med sex olika lagförslag inom ett år som täcker mycket olika frågor.
- We also have an intense biannual human rights dialogue and then of course sectoral dialogues on different issues, trade obviously being one of particular importance.
- Dessutom har vi en intensiv dialog om mänskliga rättigheter som hålls två gånger per år, samt givetvis även sektorsvisa dialoger i olika frågor, där handeln förstås är av särskilt stor vikt.
- Mrs Isler Béguin, I would like to say that we are trying to convince the Member States on the basis of the conversations and opinions which they express to us on the different issues and the studies which they send us.
- Jag vill svara att vi försöker övertyga medlemsstaterna i de samtal vi för när det gäller de åsikter som förs fram i olika frågor och de undersökningar vi får.
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 = 35278 AND
t12.lemma_id = 17375 AND
t21.lemma_id = 19168 AND
t22.lemma_id = 18527),
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;
;