- SMEs are thus the most important economic factor in Europe.
- Därmed är de små och medelstora företagen den viktigaste ekonomiska faktorn i Europa.
- These should be primary objectives and should take precedence over any economic factors.
- Vad jag nu har nämnt måste vara de främsta målen, som är långt viktigare än alla slags ekonomiska faktorer.
- In this way, the Union can help to enhance the competitiveness of the tourism industry, which is a significant economic factor and an even more significant source of employment.
- På så vis kan EU bidra till att öka konkurrenskraften i turistindustrin, som är en viktig ekonomisk faktor och en ännu viktigare källa till sysselsättning.
- Islands have specific economic factors which are not currently sufficiently taken into account and I would welcome an assurance from our Commissioner that we will review policy on this.
- Öar har specifika ekonomiska faktorer som för närvarande inte beaktas tillräckligt, och jag välkomnar en försäkran från kommissionsledamoten om att vi kommer att se över vår politik i den här frågan.
- On the other hand, it was pointed out, and very rightly so, that airports represent major economic factors and that, if we start to impose bans, there is a serious danger that this will have adverse implications for employment.
- Å andra sidan sades med rätta att flygplatserna utgör ekonomiska faktorer och att det finns stor fara för att det skall få negativa verkningar för sysselsättningen om man börjar göra restriktioner.
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 = 24874 AND
t12.lemma_id = 21339 AND
t21.lemma_id = 15053 AND
t22.lemma_id = 45195),
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;
;