- Young people are more vulnerable to the adverse effects brought by the current economic situation.
- Ungdomar är mer sårbara för de negativa effekter som den rådande ekonomiska krisen har medfört.
- Herbs and spices have been used since time immemorial without known adverse effects.
- Örter och kryddor har använts sedan urminnes tider utan negativa effekter.
- Redundancies are one of the principal adverse effects brought about by the phenomenon of (economic) globalisation, alongside the acknowledged benefits.
- Arbetslöshet är en av de främsta negativa effekter som den (ekonomiska) globaliseringen för med sig, vid sidan av de erkända fördelarna.
- Strong, specific action is needed to address this problem and to ward off its adverse effects on both the agricultural and trade sectors of our economy.
- Starka och riktade åtgärder krävs för att lösa problemet och för att avvärja de negativa effekterna för både jordbruket och handeln.
- In view of the high gold reserves held by the national central banks, this proposal makes sense from both a monetary and an economic point of view, because it precludes the adverse effects on the price of gold that would result from any dissolution of gold reserves.
- Men tanke på de nationella centralbankernas stora guldreserver är förslaget ändamålsenligt, både ur ett penningpolitiskt och ekonomiskt perspektiv, för att man därigenom undviker de negativa effekterna för marknadspriserna på guld av en eventuell upplösning av guldreserven.
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 = 19060 AND
t12.lemma_id = 27911 AND
t21.lemma_id = 6905 AND
t22.lemma_id = 54653),
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;
;