- But because we believe in this model, we also believe that we should adopt decisions so that this model does not fall apart.
- Men eftersom vi tror på denna modell, anser vi också att vi måste fatta beslut som gör att den inte spricker.
- We are expecting a strategic document as soon as possible dealing with policy on buildings in the medium to long term so that we can adopt an appropriate decision at first reading.
- Vi förväntar oss ett strategidokument om fastighetspolicy på medellång till lång sikt så snart som möjligt, så att vi kan fatta ett bra beslut vid första behandlingen.
- Those who integrate, those who are prepared to share and to decide their economic policy together will adopt the correct decisions, the right decisions, and will obtain the benefits of integration for their citizens.
- De som integrerar sig, de som är beredda att dela med sig och fastställa sin ekonomiska politik tillsammans kommer att fatta de korrekta besluten, de rätta besluten, och uppnå de fördelar som integrationen medför för sina medborgare.
- I call upon the Commission to study very carefully whether these patents which have been awarded genuinely comply with the Patent Directive, and not to act as if this House had no role in this area and were not entitled to adopt decisions.
- Jag uppmanar kommissionen att seriöst granska om dessa patent som beviljats verkligen också är i enlighet med patentdirektivet, och inte låtsas som om parlamentet här inte skulle ha något att säga till om och inte kan fatta några beslut!
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
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t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 55864 AND
t12.lemma_id = 44405 AND
t21.lemma_id = 9871 AND
t22.lemma_id = 19486),
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;
;