- It is better to support activities that already generate jobs than to have to invest vast amounts later in creating new industries.
- Det är bättre att stödja verksamheter som redan ger upphov till sysselsättning i stället för att senare behöva investera ofantliga mängder i skapandet av nya industrier.
- Most importantly, it assigns complementary tasks to the Agency to support the Commission’s activities in the fight against terrorist acts on ships and port facilities, in training seafarers and in the fight against marine pollution.
- Det viktigaste är att detta ger byrån kompletterande uppgifter för att stödja kommissionens verksamhet i samband med kampen mot terroristhandlingar på fartyg och i hamnanläggningar, genom fortbildning av sjömän och i kampen mot förorening till sjöss.
- In my opinion, this issue goes hand in hand with the need to promote social integration and support the activities of the inhabitants in the countries of that region.
- Jag anser att denna fråga går hand i hand med behovet av att främja social integrering och stödja invånarnas verksamhet i länderna i denna region.
- It is better to support activities that already create employment than to have to invest huge amounts, later on, in the creation of new industries.
- De billigaste arbetstillfällena är de som man inte behöver skapa för att man aldrig har förlorat dem. Det är bättre att stödja verksamheter som redan genererar sysselsättning, än att senare behöva satsa väldiga summor på att skapa nya industrier.
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
t21.ctag = 'VERB' AND
t12.ctag = 'NOUN' AND
t22.ctag = 'NOUN' AND
t11.lemma_id = 8954 AND
t12.lemma_id = 7628 AND
t21.lemma_id = 63358 AND
t22.lemma_id = 26332),
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;
;