- If we are to avoid the ultimate collapse, we cannot hold back support for this technology and fuel;
- Om vi ska kunna undvika en slutgiltig kollaps kan vi inte hålla inne med stöd till denna teknik och detta bränsle.
- It is fighting and we are fighting with it not, as some would have us believe, to save the jobs of the traders, but to avoid a general collapse of our entire economy and because there can be no lasting recovery without a healthy banking system.
- EU kämpar och vi kämpar, men inte, som vissa vill få oss att tro, för att rädda finanshandlarnas arbeten, utan för att undvika en allmän kollaps av hela vår ekonomi.
- To conclude, in order to avoid a collapse in consumption as a result of a crisis in trust concerning foods chosen and purchased precisely because of their characteristics and their natural methods of production, it is necessary to lay down a threshold of accidental contamination by GMOs for organic products.
- Avslutningsvis - för att undvika en kollaps i konsumtionen till följd av en förtroendekris när det gäller de livsmedel som väljs och köps just på grund av sina kännetecken och sina naturliga produktionsmetoder är det nödvändigt att ange en tröskel för oavsiktlig kontaminering av genmodifierade organismer för ekologiska produkter.
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 = 50718 AND
t12.lemma_id = 58017 AND
t21.lemma_id = 57895 AND
t22.lemma_id = 39910),
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;
;