- This would cause serious environmental damage, serious risks of depopulation and serious problems in terms of land management.
- Det skulle innebära svåra miljöskador, allvarliga risker för avfolkning och kraftiga problem för landets administration.
- In the cereal sector and the beef and veal sector in particular, the analyses carried out by the Commission showed that there is a serious risk of production surpluses increasing again soon after the year 2000.
- I synnerhet vad gäller spannmåls- och nötköttssektorn har de analyser som kommissionen gjort visat på att det snart efter år 2000 föreligger allvarliga risker för en förnyad ökning av produktionsöverskotten.
- There is a very serious risk that genetically modified organisms will become the pollution of the future, a pollution with the ability to reproduce, migrate, transform, multiply, and worst of all, antagonise the natural species that have neither the time nor the ability to resist and create defence mechanisms, since natural development takes thousands of years, while artificial development takes only months.
- Det finns en mycket allvarlig risk för att de genetiskt manipulerade organismerna blir framtidens miljöförorening, en miljöförorening med förmåga att reproducera, att sprida sig, att manipulera, att multiplicera sig och, värst av allt, att konkurrera ut de naturliga arterna som inte kommer att ha tid och förmåga att göra motstånd och att skapa en försvarsmekanism, eftersom den naturliga utvecklingen arbetar i en rytm som rör sig över tusentals år och tekniken i en rytm som rör sig om månader.
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 = 43144 AND
t12.lemma_id = 33635 AND
t21.lemma_id = 43144 AND
t22.lemma_id = 40744),
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;
;