- I shall not go here into other issues involving a heavy financial burden, namely computerisation of the Visitors’ Centre and additional services for MEPs.
- Jag ska nu inte gå in på andra frågor som innebär en tung ekonomisk börda, nämligen datoriseringen av besökscentrumet och ytterligare tjänster för parlamentsledamöterna.
- They continue to influence our work despite the financial burden on our health system of the growth in pathologies, which Mr Nassauer, incidentally, completely overlooks.
- De fortsätter att påverka vårt arbete trots den ekonomiska börda som de ökade sjukdomarna utgör för våra hälso- och sjukvårdssystem, vilket Hartmut Nassauer för övrigt helt och hållet förbiser.
- Furthermore, it makes the whole system superfluous as once a final judicial decision is taken, there is no reason to apply the provisional flatrate solution of sharing the financial burden between Member States and the Community budget.
- Dessutom gör det hela systemet överflödigt, eftersom när det slutliga juridiska beslutet väl har fattats finns det ingen anledning att tillämpa den preliminära lösningen med enhetliga belopp för att dela den ekonomiska bördan mellan medlemsstater och gemenskapsbudgeten.
- I would like to encourage all EU institutions and Member States to provide the members of society with more detailed information on combating poverty and social exclusion in order to increase the sense of common responsibility and help disperse the prejudice of being a financial burden on society.
- Jag vill uppmana alla EU:s institutioner och medlemsstater att ge samhällsmedlemmarna mer detaljerad information om bekämpning av fattigdom och social utestängning för att öka känslan av gemensamt ansvar och bidra till att få bort fördomen att de drabbade är en ekonomisk börda för samhället.
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 = 62071 AND
t12.lemma_id = 12263 AND
t21.lemma_id = 11610 AND
t22.lemma_id = 45195),
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;
;