- These are mandatory for textiles imported from third countries, but no longer mandatory for textiles produced in Member States.
- Sådan märkning är obligatorisk för textilier som importeras från tredjeländer, men inte längre för textilier som tillverkas i medlemsstaterna.
- Chocolate has been produced in Keynsham for 250 years, and for nearly 100 years by Cadbury Schweppes.
- Choklad har tillverkats i Keynsham i 250 år och i nästan 100 år av Cadbury Schweppes.
- industry buys products produced in the EU and is then given export refunds in order to be able to compete on the international market.
- Industrin köper produkter, som tillverkas i EU.
- This is because national exemptions can already be granted today for buses produced in small series, with the bureaucratic effort that this entails.
- Detta beror på att det redan i dag är möjligt att bevilja nationella undantag för bussar som tillverkas i små serier, med den byråkratiska apparat som detta medför.
- It is certainly not a quality mark denoting a product produced in Europe, which is what it implies to many consumers in its current form, and it is therefore very misleading.
- EG-märkningen är förvisso inte en kvalitetsmärkning som betecknar att en produkt har tillverkats i Europa, vilket är hur märkningen tolkas av många konsumenter i dess nuvarande utformning, och den är därför mycket vilseledande.
- Cash dispensers cannot issue EUR 20 notes, vending machines are refusing to accept euros produced in another country and the opportunities for counterfeiters are increasing because no one knows how to identify the new notes.
- Bankomaterna kan inte lämna ut sedlar på 20 euro, sedelautomaterna tar inte emot euro som tillverkats i ett annat land, falskmyntarna blir fler eftersom ingen känner igen de nya sedlarna.
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 = 29832 AND
t12.lemma_id = 8748 AND
t21.lemma_id = 1054 AND
t22.lemma_id = 26495),
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;
;