- When, a few months ago, we began work on the 2003 Budget, there was a large estimated deficit in category 5.
- När vi för några månader sedan inledde arbetet med 2003 års budget fanns det ett stort beräknat underskott i kategori 5.
- It also proposes minimum requirements for national fiscal frameworks to ensure that they are in line with Treaty obligations as well as a monitoring system for macroeconomic imbalances such as large current account deficits or bubbles in the housing market.
- Dessutom föreslås minimikrav för de nationella finanspolitiska ramverken för att få dem att överensstämma med kraven i fördraget samt ett system för övervakning av makroekonomisk obalans i form av t.ex. stora underskott i bytesbalansen eller bubblor på bostadsmarknaden.
- However, we must keep in mind that there were large deficits in the external trade between countries that led to this crisis, as well as other internal fiscal deficits.
- Om dessa bonusar utgör en risk för det finansiella systemet måste man naturligtvis övervaka dem. Vi måste emellertid komma ihåg att det var stora underskott i handeln mellan länder som ledde till denna kris, samt andra inhemska underskott i de offentliga finanserna.
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
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t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 826 AND
t12.lemma_id = 44509 AND
t21.lemma_id = 49606 AND
t22.lemma_id = 35323),
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;
;