- Banks and venture capitalists often dare not finance high-tech projects if they fall outside their area of expertise.
- Banker och venture capitalists törs ofta inte finansiera högtstående tekniska projekt när de ligger utanför deras eget kunskapsfält.
- This facility was not approved by the Council, which maintained that it was nevertheless possible to finance projects extending to third countries.
- Däremot gav rådet sitt stöd till möjligheten att finansiera projekt som utsträcker sig till tredje land.
- Few people know that the special programme is financing no fewer than 11 000 projects - bringing together more than 2 000 people, one-seventh of Northern Ireland’s population!
- Få människor vet att specialprogrammet finansierar inte mindre än 11 000 projekt - vilket för samman mer än 2 000 människor, en sjundedel av Nordirlands befolkning!
- By the same token, an initiative could be taken by the European Investment Bank - which has expressed its readiness to do this - to finance projects at rates below the market rate, provided of course that such projects really are effective in generating employment.
- Det skulle verkligen vara värt att ta det förslaget på allvar, liksom det skulle vara värt att stimulera Europeiska investeringsbanken - som redan har gett sitt godkännande - att finansiera projekt till räntor som ligger under marknadsräntorna, naturligtvis bara om projekten verkligen kan leda till flera arbeten, dvs. om det är projekt som är viktiga ur den synpunkten.
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 = 25908 AND
t12.lemma_id = 41136 AND
t21.lemma_id = 3435 AND
t22.lemma_id = 20087),
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;
;