- This proposal has already been submitted by the Convention.
- Detta förslag har redan lämnats av konventet.
- I have decided together with my colleagues from the European Parliamentary Labour Party, to support the original Report, which offers the most satisfactory response to the hundreds of petitions submitted by European citizens, victims of the massive rush for urbanisation in Spain, overbuilding and coastal destruction.
- Tillsammans med mina kolleger från Europaparlamentets labourgrupp har jag beslutat att stödja det ursprungliga betänkandet, som utgör ett mycket tillfredsställande svar på de hundratals framställningar som har lämnats in av EU-medborgare vilka fallit offer för Spaniens kraftiga urbanisering, överdriven bebyggelse och kustförstörelse.
- The European Union needs to recognise that when such drastic decisions are taken against conflicting scientific evidence submitted by the fishermen themselves, which have been totally rejected out of hand, for the conservation of their own fish stocks, then serious trouble can only result when these men are not heard.
- Europeiska unionen måste inse att när sådana drastiska beslut fattas mot vetenskapliga motstridiga bevis som lämnats av fiskarna själva och som har helt tillbakavisats utan vidare, för bevarande av deras egna fiskbestånd då kan enbart allvarliga problem bli resultatet när man inte lyssnar på dessa män.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 61218 AND
t12.lemma_id = 6140 AND
t21.lemma_id = 61048 AND
t22.lemma_id = 3216),
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;
;