- The report stresses that next year’s budget must be drawn up in such a way that it helps Europe recover from the economic and social crisis as quickly as possible.
- I betänkandet betonas att nästa års budget måste utarbetas på ett sådant sätt att det hjälper Europa att återhämta sig från den ekonomiska och sociala krisen snarast möjligt.
- It is my responsibility to denounce the German authorities, who, wrongly and hastily, accused Spanish cucumbers and, more specifically, the cooperatives of Malaga and Almeria, which were model operations and which will not recover from these accusations.
- Det är mitt ansvar att peka ut de tyska myndigheterna, som felaktigt och förhastat skuldbelade de spanska gurkorna och mer specifikt kooperativen i Malaga och Almeria, som var exemplariska verksamheter och som inte kommer att återhämta sig från dessa anklagelser.
- Finally, I wish to say to the Commission that I understand what it is trying to do but, until the beef market has time to recover from the recent crisis, it is absolutely necessary to ease the very severe proposals so that farmers can stay in business.
- Slutligen vill jag säga till kommissionen att jag förstår vad den försöker åstadkomma men, ända tills nötköttsmarknaden har fått tillfälle att återhämta sig från krisen nyligen, är det absolut nödvändigt att lätta på de mycket stränga förslagen, så att producenterna kan fortsätta sin verksamhet.
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 = 9645 AND
t12.lemma_id = 15442 AND
t21.lemma_id = 65077 AND
t22.lemma_id = 58308),
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;
;