- This would be in the interests of all citizens affected by security issues in their daily lives.
- Det borde intressera alla medborgare som påverkas av säkerhetsfrågor i sitt dagliga liv.
- It will create a new framework for our daily lives and our political work.
- Den 11 september kommer att skrivas in i historieböckerna och bilda en ny ram för vårt dagliga liv och vårt politiska arbete.
- It is important to have such an agency in place in order to ensure the smooth functioning of the internal market that concretely affects the daily lives of the citizens and business alike, using broadband, online banking, e-commerce and mobile phones.
- Det är viktigt att ha en sådan byrå för att säkerställa att den inre marknaden fungerar väl eftersom detta på ett konkret sätt påverkar det dagliga livet för såväl privatpersoner som företag som använder sig av bredband, internetbank, e-handel och mobiltelefoner.
- The fight against extreme poverty and social inequalities will have no lasting success without a permanent dialogue with the families and individuals who experience extreme poverty in their daily lives.
- Kampen mot den yttersta fattigdomen och mot sociala ojämlikheter kommer inte att nå en varaktig framgång utan en parlamentsdialog med de familjer och individer som erfar den yttersta fattigdomen i sina dagliga liv.
- This is something that they will notice in their daily lives because any of them may have a car, and any of them, even if they do not travel abroad much, will have the idea that ‘well, if I do go abroad at least I will be covered’.
- Detta är något som angår dem i deras dagliga liv, för de flesta har en bil, och även om de inte ofta åker utomlands tänker de att ”tja, om jag reser i väg så är jag skyddad”.
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 = 41301 AND
t12.lemma_id = 15702 AND
t21.lemma_id = 40052 AND
t22.lemma_id = 40358),
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;
;