- Our vote has thus clarified the composition of the future European Agency, while also setting out our specific requirements regarding its funding and its independence.
- Vår omröstning har således klargjort den framtida europeiska myndighetens roll och sammansättning, men också tydliggjort våra krav om dess finansiering och oberoende.
- If we did not have this national agency, and if we had replaced it with a European agency, as some people are today requesting, then we would be deprived of objective information, and we would not have this expert opinion on which to base our reluctance.
- Hade vi inte haft denna nationella myndighet, och om vi hade ersatt denna med en europeisk myndighet - något som vissa begär i dag - skulle vi sakna objektiv information;
- In conclusion, while road safety is a major issue and death and injury on our roads are at frightening levels - 40 000 per annum in the EU - like many colleagues I balk at yet another European agency and feel that national authorities should be able to plan strategies suitable to their particular set of circumstances.
- Sammanfattningsvis, medan säkerheten på vägarna är en stor fråga och antalet döda och skadade i trafiken når skrämmande nivåer - 40 000 per år i EU - ryggar jag precis som flera av mina kolleger tillbaka inför ännu en europeisk myndighet och anser att de nationella myndigheterna bör kunna utforma strategier som lämpar sig för de speciella omständigheter som råder i deras länder.
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 = 37757 AND
t12.lemma_id = 21311 AND
t21.lemma_id = 54674 AND
t22.lemma_id = 11582),
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;
;