- I would finally like to thank the Council for making the most difficult thing look easy, and that is being here when necessary.
- Avslutningsvis tackar jag rådet för att det gör det svåraste enkelt, vilket är att vara närvarande när det är nödvändigt.
- I would also like to thank the Council, especially the Portuguese Presidency and their Minister of State, Mr Pedro Silva Perreira, who made this agreement possible.
- Jag vill även tacka rådet, särskilt det portugisiska ordförandeskapet och dess utrikesminister Pedro Silva Perreira, som har möjliggjort detta avtal.
- I would also like to thank the Council, specifically the German Presidency, under whose leadership it proved possible to achieve the common position, and the current Portuguese Presidency, which stalwartly defended the common position achieved, thereby enabling us to debate it today and vote on it tomorrow.
- Jag vill likaså tacka rådet, särskilt det tyska ordförandeskapet, under vars ledarskap det visade sig möjligt att nå den gemensamma ståndpunkten, och det nuvarande portugisiska ordförandeskapet, som ståndaktigt försvarade den gemensamma ståndpunkt som nåtts, vilket gjort det möjligt för oss att debattera den i dag och rösta om den i morgon.
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 = 17711 AND
t12.lemma_id = 39990 AND
t21.lemma_id = 35943 AND
t22.lemma_id = 33038),
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;
;