- Corporate social responsibility can also have beneficial effects in terms of building good relationships with consumers, suppliers and others.
- Företagens sociala ansvarstagande kan även ha gynnsamma effekter när det gäller att bygga goda förhållanden till konsumenter, leverantörer och andra.
- This would have a doubly beneficial effect on the financial situation of the Palestinian Authority and of the Palestinian private sector.
- Detta borde få en dubbel gynnsam effekt på den finansiella situationen för den palestinska myndigheten och den palestinska privata sektorn.
- At the same time, let me draw your attention to the Commission’s report on the functioning of the transitional arrangements for the enlargement of 1 May 2004, and in particular to the finding that the arrival of workers from the accession Member States has had a beneficial effect and actually helped to reduce imbalances in national labour markets, without the newcomers largely taking the place of local jobseekers.
- Låt mig samtidigt fästa er uppmärksamhet på kommissionens rapport om övergångsbestämmelsernas funktion vid utvidgningen den 1 maj 2004, och i synnerhet på slutsatsen att ankomsten av arbetstagare från de anslutande medlemsstaterna har haft en gynnsam effekt och faktiskt bidragit till att minska obalanser på nationella arbetsmarknader, utan att nykomlingarna till stor del har tagit lokala arbetssökandes plats.
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 = 19060 AND
t12.lemma_id = 44544 AND
t21.lemma_id = 6905 AND
t22.lemma_id = 51898),
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;
;