- This will cost money.
- Men detta kostar pengar.
- this reform is going to cost more money.
- denna reform kommer att kosta mer pengar.
- We cannot continue with a situation where incompetence, mismanagement and fraud are costing the European taxpayers money and providing them with a poor service.
- Vi kan inte fortsätta med en situation där inkompetens, misskötsel och bedrägeri kostar de europeiska skattebetalarna pengar och ger dem dålig service.
- Despite the existence of four structural funds, seven coherence funds, a framework programme and dozens of EU agencies whose only job is to milk the EU’s funds, here is another organisation that would most certainly cost the European taxpayer money but, as regards real measures against unemployment or making the lives of employers easier (or at least not making them more difficult), nothing like that is mentioned here.
- Trots att det finns fyra strukturfonder, sju sammanhållningsfonder, ett ramprogram och ett dussintal EU-organ vars enda jobb är att mjölka EU:s fonder på pengar, har vi här ytterligare en organisation som säkerligen kommer att kosta de europeiska skattebetalarna pengar, men i betänkandet nämns ingenting om riktiga åtgärder mot arbetslöshet eller hur man gör livet lättare för arbetsgivare (eller åtminstone inte gör det svårare).
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 = 63754 AND
t12.lemma_id = 38740 AND
t21.lemma_id = 5378 AND
t22.lemma_id = 2337),
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;
;