- They need far-reaching and tangible help.
- De behöver långtgående och konkret hjälp.
- opposition parties, human rights organisations, voluntary organisations and journalists who desperately need our help and who are fighting against extreme odds.
- oppositionspartier, människorättsföreningar, frivillighetsorganisationer och journalister som desperat behöver vår hjälp och som kämpar i extremt hård motvind.
- The fifth point is that we must establish targeted programmes to assist the victims, especially the women who were raped and who certainly need special dedicated help.
- Vår femte punkt är att vi måste upprätta riktade program för att hjälpa offren, särskilt de kvinnor som våldtogs och som säkerligen behöver särskild hjälp.
- Without this sort of watertight legislation, some airlines will look for loopholes to avoid providing for disabled people and those who need a little extra help at busy airports where the distance from check-in to the boarding gate can be up to a kilometre.
- Utan denna typ av vattentät lagstiftning kommer vissa flygbolag att leta efter kryphål för att slippa hjälpa funktionshindrade personer och dem som behöver lite extra hjälp på välbesökta flygplatser där avståndet mellan incheckningsplatsen och ombordstigningsplatsen kan vara upp till en kilometer.
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
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 18487 AND
t12.lemma_id = 12850 AND
t21.lemma_id = 3809 AND
t22.lemma_id = 11133),
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;
;