- Naturally, representatives from the Swiss authorities will be able to attend our committee meetings on points which concern their country.
- Naturligtvis kommer företrädare för de schweiziska myndigheterna ges möjlighet att närvara vid programkommitténs sammanträden när det gäller punkter som berör Schweiz.
- Is the Commission considering the possibility of finding a standard regulation in Europe which includes the Swiss authorities?
- Har kommissionen här gjort några överväganden, för att mitt i Europa även komma fram till några enhetliga bestämmelser tillsammans med de schweiziska myndigheterna?
- With reference to the financial controls and audit provisions, Switzerland will be required to adhere to the provisions of the European Union, including those relating to the controls by the institutions of the EU and by the Swiss authorities.
- När det gäller ekonomisk kontroll och revision kommer vi att kräva att Schweiz följer EU:s bestämmelser, inklusive kontroller som genomförs av EU:s organ och schweiziska myndigheter.
- The Swiss authorities are aware that when the people say ’no’, they mean ’no’ so that they do not simply continue to hold ballots until they get the result they want, then express surprise at a drop in voter turnout.
- De schweiziska myndigheterna vet att när folket säger nej så menar de nej, så de fortsätter inte bara att hålla folkomröstningar tills de får det resultat de vill ha, för att sedan uttrycka förvåning över att valdeltagandet minskat.
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 = 35048 AND
t12.lemma_id = 49743 AND
t21.lemma_id = 54674 AND
t22.lemma_id = 16790),
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;
;