- This ’European contract’ would be optional, would come with a ’toolbox’ to clarify how it should be used and it would encourage greater protection of consumers.
- Det skulle ge bättre skydd för konsumenter.
- It may be that as electronic commerce develops, it will provide greater protection, but it does need to develop first.
- Det kan hända att elektronikens utveckling kommer att erbjuda bättre skydd, men först måste den utvecklas.
- Mr President, Commissioner, ladies and gentlemen, I would like to offer the Commissioner my heartfelt thanks for the content of her speech, because the purpose of our resolution here is to ensure greater protection for religious minorities in everyone’s interest.
- Jag vill tacka kommissionsledamoten så hjärtligt för vad hon sa, eftersom syftet med vår resolution är att säkra ett bättre skydd för religiösa minoriteter i allas intresse.
- Agreement on a revised directive would contribute to greater protection for employees, would help in solving the problem of on-call time and rest, and would pave the way towards a gradual reduction in the use of opt-outs in the Member States.
- En överenskommelse om det omarbetade direktivet skulle bidra till bättre skydd för anställda, bidra till att lösa problemen med jourtid och vila och dessutom bana väg för en gradvis minskning av utnyttjandet av opt-out i medlemsstaterna.
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 = 48514 AND
t12.lemma_id = 43163 AND
t21.lemma_id = 38759 AND
t22.lemma_id = 2973),
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;
;