- That is an important problem but it is only one aspect.
- Det är ett viktigt problem, men det är bara en av aspekterna.
- Let us move, now, to the most important problem - the financing of infrastructure.
- Låt oss nu lyfta fram det viktigaste problemet - finansieringen av infrastrukturen.
- I would like to draw the attention of the new Parliament to this important problem and call on the Council to speed up the discussion of the draft proposals.
- Jag vill fästa parlamentets uppmärksamhet på detta viktiga problem och uppmana rådet att påskynda diskussionen om förslagen.
- In addition, besides organised criminals and those acting on their own initiative, another important problem has arisen in recent times, and that is international terrorism.
- Förutom organiserade brottslingar och sådana som agerar på eget initiativ har dessutom ett annat viktigt problem uppkommit på senare tid, och det är internationell terrorism.
- Mr President, I voted in favour of the report on cross-border cooperation, combating terrorism and cross-border crime, as this is an immensely important problem that has existed since statehood came into being.
- Jag röstade för betänkandet om gränsöverskridande samarbete för bekämpning av terrorism och gränsöverskridande brottslighet eftersom det är ett oerhört viktigt problem som har existerat sedan självständiga stater började uppstå.
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 = 13883 AND
t12.lemma_id = 36766 AND
t21.lemma_id = 13883 AND
t22.lemma_id = 14863),
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;
;