- Mr França, your speech highlighted the need to adopt a single framework for enforcing decisions rendered in absentia.
- Herr França, i ert anförande framhävde ni behovet av att anta en gemensam ram för att verkställa utevarodomar.
- The recent gas crisis highlighted the need for us to adopt a serious and united approach to dealing with the issue of the European Union’s dependency on its resource suppliers.
- Gaskrisen nyligen framhävde vårt behov av att anta en allvarligt menad och gemensam linje för att hantera frågan om EU:s beroende av sina resursleverantörer.
- Mr President, Commissioner, ladies and gentlemen, I would like to start by congratulating Mr Mantovani on his excellent report, which highlights the need to guarantee people’s right to high-quality protection against health risks and loss of independence, and the importance of ensuring that that right reflects the challenges of our times, and in particular the demographic trend towards an ageing population.
- Jag vill börja med att gratulera Mario Mantovani till hans utmärkta betänkande, i vilket man framhäver behovet av att garantera rätten till ett kvalitativt skydd mot sjukdomsrisker och att det är viktigt att anpassa denna rätt till vår tids utmaningar, särskilt när det gäller den allt äldre befolkningen.
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 = 58482 AND
t12.lemma_id = 18487 AND
t21.lemma_id = 63892 AND
t22.lemma_id = 23045),
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;
;