- The unified state should not be defended at all costs, but the free world needs to stand against Muslim terrorism.
- det måste däremot den fria världen gentemot muslimsk terrorism.
- It is in the interests of our citizens that the 2020 programme succeeds in stimulating the creation of good jobs and rising living standards, and it is in the interests of the free world that the 2020 programme points the way to a stronger economic future for all our citizens.
- Det ligger i våra medborgares intresse att programmet för 2020 blir lyckat när det gäller att stimulera skapandet av bra arbetstillfällen och en höjd levnadsstandard, och det gynnar den fria världen att vägen mot en starkare ekonomisk framtid för alla våra medborgare framhålls i programmet för 2020.
- As citizens of a part of Europe that was occupied by Russia and its Communist allies for decades, we know how much meaning a small gesture of solidarity by the free world can have for activists campaigning on behalf of those who have been imprisoned and persecuted because of their views.
- Som medborgare i en del av Europa som under decennier var ockuperad av Ryssland och dess kommunistallierade, vet vi hur mycket en liten solidarisk gest från den fria världen kan betyda för aktivister som kämpar för dem som har fängslats och förföljts för sina åsikters skull.
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 = 50634 AND
t12.lemma_id = 54757 AND
t21.lemma_id = 40797 AND
t22.lemma_id = 44124),
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;
;