- We have seen that investment comes from established operators but some also comes from new operators.
- Vi har sett att investeringarna kommer från etablerade aktörer, men en del kommer även från nya aktörer.
- whilst we welcome the increase in unbundled local loops, we think more should be done to allow further opening up and the entry of new operators.
- vi välkomnar ökningen av tillträdet till accessnätet, men vi anser samtidigt att mer bör göras för att möjliggöra att marknaden öppnas ytterligare och att nya aktörer får tillträde.
- We need, therefore, to focus upon this strategic, high-investment sector - given that it requires infrastructure, research and constant innovation - and create a market for it that is open to new operators, with the widest possible choice for consumers and with the principle of access to networks as a key feature.
- Vi behöver därför inrikta oss på denna strategiska höginvesteringssektor - eftersom den kräver infrastruktur, forskning och kontinuerlig innovation - och skapa en marknad för den som är öppen för nya aktörer, med bredast möjliga valmöjlighet för konsumenter och med principen om åtkomst till nätverk som en mycket viktig egenskap.
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 = 15311 AND
t12.lemma_id = 15618 AND
t21.lemma_id = 33204 AND
t22.lemma_id = 53462),
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;
;