- A perfect example is the frantic race for output, productivity and enlargement in order to maintain an income that no longer allows profitable investment.
- Hetsjakten på avkastning, produktivitet och på en expansion för att kunna upprätthålla inkomster som inte längre ger utrymme för ekonomiskt lönsamma investeringar, det är ett perfekt exempel på den typen av effekter.
- This is a fundamental problem because we get a great number of messages from telecom companies that universal service tariffs are too high in a number of Member States to be able to make profitable investments.
- Det är ett viktigt problem, vi får nämligen många signaler från telekommunikationsföretag om att priserna för samhällsomfattande tjänster ligger för högt i ett antal medlemsstater för att lönsamma investeringar ska låta sig göras.
- Yet raising the educational level of Roma children is a profitable investment from the point of view of the national economy, since the spending that is needed in order for a Roma child to finish secondary school is repaid in full through his or her later contributions to the state budget.
- Att höja de romska barnens utbildningsnivå är ändå en lönsam investering sett till den nationella ekonomin, eftersom kostnaderna för att ett romskt barn ska fullgöra gymnasieutbildningen återbetalas fullt ut genom det som han eller hon senare kan bidra med till statsbudgeten.
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 = 60220 AND
t12.lemma_id = 7913 AND
t21.lemma_id = 59321 AND
t22.lemma_id = 22900),
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;
;