- It is certainly the job of the EBRD to do this, but it is even more important to try to do it in countries with little industrial development, which have a greater need for support and revitalisation.
- EBRD:s uppgift är naturligtvis att främja denna utveckling, men det blir än viktigare att främja och stödja en sådan utveckling i länder med svag industriell utveckling som har desto större behov av stöd och stimulans.
- While I approve of some of the Executive Committee’s proposals on education and training and on local employment initiatives, I would say, like many others here, that unemployment needs shock treatment, along with effective stimulation of internal demand for goods and services, a reduction in interest rates, an increase in research and development, a less dogmatic and ideological approach to the criteria for convergence, a way of proceeding with restructuring which is undoubtedly gentler, and finally a genuine desire for industrial development.
- Samtidigt som jag instämmer i vissa av kommissionens förslag om undervisning och utbildning och lokala initiativ för sysselsättning, säger jag som många andra här att det behövs en chockbehandling av arbetslösheten med en effektiv stimulans av den inhemska efterfrågan på varor och tjänster, sänkta räntor, ökad forskning och utveckling, en mindre dogmatisk och ideologisk behandling av konvergenskriterierna, ett sannolikt försiktigare sätt att genomföra omstruktureringar och, slutligen, en verklig vilja till industriell utveckling.
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 = 12805 AND
t12.lemma_id = 50322 AND
t21.lemma_id = 41887 AND
t22.lemma_id = 58567),
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;
;