- The European Commission in particular has been under fire these last few years.
- Under de gångna åren har framför allt Europeiska kommissionen legat i skottlinjen.
- Last year, all EP Members were inundated with e-mails on food supplements and vitamin preparations.
- Under det gångna året har alla Europaparlamentets ledamöter blivit bombarderade med e-post om kosttillskott och vitaminpreparat.
- Mr President, in the last few years, satellite-assisted positioning and navigation systems have become increasingly widespread.
- De satellitbaserade positionsbestämnings- och navigationssystemen har under de gångna åren fått ökad spridning.
- Madam President, ladies and gentlemen, you will all remember the discussion that we have had several times in this Chamber in the course of the last year.
- Ni erinrar er alla den diskussion som vi fört flera gånger under loppet av det gångna året i denna kammare.
- Over the last year, the Member States of the Union have, naturally, decided to implement specific measures designed to strengthen the operational capability of their armed forces and the informal summit in Sintra, held the day before yesterday in your presence, has just confirmed the main trends.
- Under det gångna året har medlemsstaterna på detta sätt helt naturligt beslutat att genomföra konkreta åtgärder avsedda att öka kapaciteten för deras väpnade styrkor, och det informella toppmötet i Sintra som hölls i förrgår i er närvaro har bekräftat dessa huvudsakliga riktlinjer.
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 = 12570 AND
t12.lemma_id = 16455 AND
t21.lemma_id = 41640 AND
t22.lemma_id = 7325),
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;
;