- This does not mean the lowest common denominator of existing national regimes.
- Detta innebär inte den minsta gemensamma nämnaren för de befintliga nationella systemen.
- We are still aiming for 2012, but we must not feel we have to rush through a text based on lowest common denominators purely for the sake of sticking to deadlines.
- Vi siktar fortfarande på 2012, men vi får inte känna oss tvingade att forcera behandlingen av en text som grundas på minsta möjliga nämnare bara för att vi måste hålla tidsgränserna.
- Mr. Van Rompuy says the EU’s capacity to reach consensus remains intact and so it is, but unfortunately there is only consensus on the lowest common denominator!
- Herman Van Rompuy säger att EU fortfarande har förmågan att nå samstämmighet, och det stämmer, men tyvärr gäller samstämmigheten endast den minsta gemensamma nämnaren!
- I also want the Commission to be firm in pushing for harmonisation of road safety rules at the highest possible level, in keeping with the best national practices rather than opting for the lowest common denominator.
- Jag önskar också att kommissionen är fast och beslutsam i sina påtryckningar för en harmonisering av trafiksäkerhetsregler på en så hög nivå som möjligt, samtidigt som den tar till vara god nationell praxis snarare än strävar efter minsta gemensamma nämnare.
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 = 339 AND
t12.lemma_id = 42930 AND
t21.lemma_id = 49210 AND
t22.lemma_id = 9634),
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;
;