- By that I mean the growth that they create, which itself is needed in order to create jobs, but not only for their own sake;
- Jag talar om den tillväxt flexibiliteten och konkurrenskraften kan leda till, som i sig själv är nödvändig för att skapa sysselsättning, men inte bara för sysselsättningens egen skull.
- I should like, therefore, to congratulate the rapporteur and get behind her call for a more ambitious Commission Green Paper that leads to the appearance of a true Internal Market, making it possible to create jobs and guarantee greater social cohesion.
- Jag skulle därför vilja gratulera föredraganden och ställa mig bakom hennes krav på en mer ambitiös grönbok från kommissionen som leder till uppkomsten av en verklig inre marknad och gör det möjligt att skapa sysselsättning och garantera större social sammanhållning.
- Therefore, the European Commission must ensure that the future partnership agreement will make a contribution both to the development of a sustainable local fishing industry which creates jobs and to closer regional integration, for instance, through negotiating the future agreement with the entire Pacific region.
- Kommissionen måste därför se till att det framtida partnerskapsavtalet kommer att bidra till såväl utvecklingen av en hållbar lokal fiskeindustri som skapar sysselsättning som till en mer djupgående regional integration, bland annat genom att förhandla om det framtida avtalet med hela Stillahavsregionen.
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 = 53153 AND
t12.lemma_id = 43879 AND
t21.lemma_id = 7376 AND
t22.lemma_id = 9098),
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;
;