- I therefore welcome the Commission’s initiative to create a new legal base for combating scrapie.
- Jag välkomnar därför kommissionens initiativ att skapa en ny rättslig grund för bekämpningen av skrapie.
- For all these reasons and given your most excellent statement, I find it a pity that the new legal base for the Daphne programme is so restrictive, even though you are asking for it to be interpreted broadly.
- Av alla dessa anledningar och i ljuset av er synnerligen utmärkta förklaring tycker jag att det är beklagligt att den nya rättsliga grunden för Daphne-programmet är så begränsande, även om ni förespråkar en bred tolkning.
- That is why the European Parliament will today vote for mandatory social and environmental reporting by companies, for new corporate governance rules, including making board members individually responsible for the social and environmental performance of the firm, and we will reaffirm our call for a new legal base for jurisdiction over European companies operations world-wide.
- Därför kommer Europaparlamentet i dag att rösta för obligatorisk social rapportering och miljöredovisning från företagens sida, för nya bestämmelser för företagsledning, däribland att styrelseledamöter skall göras enskilt ansvariga för ett företags sociala och miljömässiga prestationer, och vi kommer återigen att bekräfta vårt krav på en ny rättslig grund för behörigheter som omfattar de europeiska företagens verksamhet över hela världen.
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 = 48964 AND
t12.lemma_id = 15618 AND
t21.lemma_id = 48550 AND
t22.lemma_id = 53462),
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;
;