- It will appear on the Commission’s agenda within the next four weeks and will then be presented to the Supervisory Committee.
- Den kommer inom de närmaste fyra veckorna att stå på kommissionens föredragningslista och kommer sedan att läggas fram för övervakningskommittén.
- I am happy because Europe has understood that when ETA violates human rights, when organised Basque fascism commits xenophobic crime and ideological cleansing, when this terrorist organisation, which in Spain today represents the final dying embers of Franco’s legacy, continues to operate, based within Europe itself, it is not a problem for the direct victims, those of us who live with escorts, those who cannot appear on electoral lists, those who have to overcome fear in order to write daily or in order to talk to the media.
- Lycklig över att Europa har förstått att när ETA begår brott mot de mänskliga rättigheterna, när den organiserade baskiska fascismen använder sig av främlingsfientliga brott och ideologisk rensning, när denna terroristorganisation, som i dag i Spanien är den sista kvarvarande glöden från Francotiden, fortsätter att agera, med sin kärna mitt i Europa så är det inte vi direkta offer som har ett problem, vi som lever med livvakter, som inte kan stå på vallistor, som måste komma över rädslan för att skriva varje dag eller för att tala i media.
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 = 28748 AND
t12.lemma_id = 11075 AND
t21.lemma_id = 33479 AND
t22.lemma_id = 40192),
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;
;