- The common position devotes three pages to regulating this issue.
- Den gemensamma ståndpunkten reglerar denna fråga från tre håll.
- It provides more clarity, because various provisions regulating the same issue are often spread over different legal texts.
- Det skapar större klarhet, eftersom olika bestämmelser som reglerar samma fråga ofta är uppdelade i olika juridiska texter.
- Madam President, our work on a further series of tasks aimed at regulating issues important for human health within the European Union is drawing to a close.
- Vårt arbete med ytterligare en serie uppgifter vars syfte är att reglera frågor som är viktiga för människors hälsa i EU går mot sitt slut.
- The Council even proposed to Parliament that this directive should regulate the issue of on-call time only and leave the issue of the opt-out for another time, but Parliament did not respond to this.
- Rådet föreslog även parlamentet att detta direktiv endast skulle reglera frågan om jourtid och att frågan om undantag skulle hanteras vid en annan tidpunkt, men parlamentet svarade inte på detta.
- That would enable us to regulate this issue uniformly across the EU, to plug the legal loopholes and to support sports federations in their efforts towards orderly and transparent agencying of players.
- Det skulle göra det möjligt för oss att reglera frågan på ett enhetligt sätt i hela EU, så att vi kan täppa till rättsliga luckor och stödja idrottsförbunden i deras insatser för att få till stånd en reglerad spelaragentverksamhet som präglas av öppenhet och insyn.
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 = 'dobj' AND
s2.val = 'OO' AND
t11.ctag = 'VERB' AND
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t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 58076 AND
t12.lemma_id = 35278 AND
t21.lemma_id = 1006 AND
t22.lemma_id = 19168),
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;
;