- EU imports of tomatoes from Morocco grew from 185 000 tonnes in the 1999-2000 season to 295 000 tonnes in 2009-2010, following the normal trend of fresh fruit and vegetable imports from all over the world.
- EU:s tomatimport från Marocko ökade från 185 000 ton under säsongen 1999-2000 till 295 000 ton under säsongen 2009-2010, enligt den normala trenden för import av färsk frukt och färska grönsaker från hela världen.
- The legislation in force on this issue needs to be changed so that the consumer may be kept fully informed and know whether the product has been made from fresh fruit or not.
- Den gällande lagstiftningen i denna fråga måste förändras, så att konsumenten blir korrekt informerad och får reda på om produkten är framställd med färsk frukt eller ej.
- I would also like to assure this House that, regarding control of phytosanitary standards, the Commission is assuring the highest possible control and the highest possible level of standards for every import of fresh fruit and vegetables to the European Union.
- Jag vill också försäkra parlamentet om att kommissionen, vad gäller kontroll av fytosanitära normer, garanterar största möjliga kontroll och högsta möjliga normnivå för all import av färsk frukt och färska grönsaker till EU.
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 = 62057 AND
t12.lemma_id = 10894 AND
t21.lemma_id = 58995 AND
t22.lemma_id = 63655),
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;
;