- It is also necessary, I believe, to stimulate creation by adopting a specific tax system for innovative products, such as digital cultural content.
- Det är också nödvändigt, tror jag, att stimulera nyskapande genom att införa ett särskilt skattesystem för innovativa produkter, såsom kulturellt digitalt innehåll.
- The current proposal maintains the principle of the need for pre-market authorisation for innovative products, to reassure consumers that new breeding or new production techniques are safe for humans and animals and respect the environment and consumers’ interests.
- I det nuvarande förslaget behålls principen om krav på preliminärt tillstånd för att föra ut innovativa produkter på marknaden för att garantera konsumenterna att de nya uppfödnings- eller produktionsteknikerna är säkra för människor och djur och respekterar miljön och konsumenternas intressen.
- I welcome the Commission’s proposal, as it simplifies the existing regulatory framework and has the potential to encourage innovation in the textile and clothing sector, whilst allowing fibre users and consumers to benefit more readily from innovative products.
- Jag välkomnar kommissionens förslag, eftersom det förenklar det befintliga regelverket och kan främja innovationer inom textil- och klädsektorn, och samtidigt göra det möjligt för fiberanvändare och konsumenter att lättare dra nytta av innovativa produkter.
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 = 32218 AND
t12.lemma_id = 61537 AND
t21.lemma_id = 27800 AND
t22.lemma_id = 14338),
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;
;