- A major political effort to fill these gaps as soon as possible would be our best tribute to the memory of the victims of Wexford.
- En stor politisk insats för att fylla dessa lyckor så snabbt som möjligt skulle vara vårt bästa sätt att hedra minnet av offren i Wexford.
- If that question were to be encountered with no preparation other than sincere humanitarian sentiment, it might be naively imagined that political efforts should be aimed at deterring and preventing the persecution and political oppression that give rise to the asylum problem, as well as at distributing both wealth and political influence or, in short, democratising the prosperity of the world which is at present concentrated in a few dominant centres, including the EU, that function as oases in a world of social, economic and political misery.
- Om man stötte på den frågan helt oförberedd och endast utrustad med ett uppriktigt humanitärt sinnelag, så kunde man naivt föreställa sig att den politiska insatsen borde gå ut på att förhindra och förebygga den förföljelse och det politiska förtryck som är orsaken till asylproblemet, och att fördela både rikedom och politiskt inflytande, kort sagt demokratisera världens välstånd, som i dag är koncentrerat till få dominerande centra, däribland Europeiska unionen, som oaser i en värld av socialt, ekonomiskt och politiskt elände.
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 = 61765 AND
t12.lemma_id = 7077 AND
t21.lemma_id = 1673 AND
t22.lemma_id = 55010),
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;
;