- To ensure the credibility of the new framework, the Commission is proposing a wide range of sanctions that should start kicking in at an early stage.
- För att garantera att den nya ramen blir trovärdig föreslår kommissionen att ett brett urval påföljder börjar tillämpas i ett tidigt skede.
- I wholeheartedly welcome your broad support for our strategy on retail financial services, as well as the significant contribution you have made towards deliberations on a wide range of issues.
- Jag välkomnar helhjärtat ert breda stöd för vår strategi för finansiella tjänster till privatpersoner och mindre företag, samt ert viktiga bidrag till överläggningar om ett brett urval frågor.
- Under these themes, we will have opportunities to discuss a wide range of issues including e-health, the interoperability of electronic health records, secure trade, mutual recognition of authorised trade standards and the overall approach to regulation, the Innovation Action Partnership and exchange of information on consumer product safety.
- Under dessa teman kommer vi att ha möjligheter att diskutera ett brett urval frågor, inklusive e-hälsa, kompatibilitet för elektroniska hälsoregister, säker handel, ömsesidigt erkännande av auktoriserade handelsnormer och en övergripande strategi för reglering, partnerskapet för innovationsåtgärder och utbyte av information om säkerheten för konsumentprodukter.
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 = 4006 AND
t12.lemma_id = 30657 AND
t21.lemma_id = 48300 AND
t22.lemma_id = 30824),
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;
;