- The EU is not here to create social engineering with its policies.
- EU:s uppgift är inte att skapa social ingenjörskonst med sin politik.
- Madam President, we have created a single market with free movement of goods, services, capital and people.
- Vi har skapat en inre marknad med fri rörlighet för varor, tjänster, kapital och människor.
- As someone who has had first-hand experience of the BSE crisis where ingredients were placed in compound feed which were not up to the standard one could have had expected, I find it hard to believe we are now going to create a new monster with genetically modified food.
- I egenskap av en person som haft direkta erfarenheter av BSE-krisen, där ingredienser blandades i blandfoder, som inte höll den standard man hade kunnat förvänta sig, finner jag det svårt att tänka mig att vi nu skall ge oss till att skapa ett nytt monster, med genetiskt modifierade livsmedel.
- We need, therefore, to focus upon this strategic, high-investment sector - given that it requires infrastructure, research and constant innovation - and create a market for it that is open to new operators, with the widest possible choice for consumers and with the principle of access to networks as a key feature.
- Vi behöver därför inrikta oss på denna strategiska höginvesteringssektor - eftersom den kräver infrastruktur, forskning och kontinuerlig innovation - och skapa en marknad för den som är öppen för nya aktörer, med bredast möjliga valmöjlighet för konsumenter och med principen om åtkomst till nätverk som en mycket viktig egenskap.
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
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t21.ctag = 'VERB' AND
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t22.ctag = 'ADP' AND
t11.lemma_id = 53153 AND
t12.lemma_id = 12425 AND
t21.lemma_id = 7376 AND
t22.lemma_id = 57357),
stats AS (SELECT
sentence_id,
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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
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JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;