- To achieve a social Europe, let us begin by banning layoffs on the part of firms in profit.
- Låt oss, för att uppnå ett socialt Europa, förbjuda alla avskedanden i företag som går med vinst.
- In this way we can achieve a Europe of results, without the abstraction from which people will inevitably remain alienated.
- På så sätt kan vi uppnå ett resultatens Europa, utan den abstraktion som gör att människor oundvikligen blir alienerade.
- To achieve a democratic Europe, let us begin by bringing down the Schengen fortress and agreeing that all men and women have the same freedom of movement as capital, and let us regularise the situation of illegal immigrants.
- Låt oss, för att uppnå ett demokratiskt Europa därför börja med att spränga Schengenfästningen och acceptera att alla kvinnor och män skall vara lika fria att röra sig som kapitalet, och låt oss också legalisera dem som saknar identitetshandlingar.
- Finally, to achieve a Europe of justice and solidarity, let us begin by setting up, and not just talking about, a Tobin tax, up to a level that would make it possible to guarantee the subsistence of the billions of children and adults totally without resources.
- Låt oss, avslutningsvis, för att uppnå ett Europa av rättvisa och solidaritet, börja med att inte bara diskutera utan även införa en Tobinskatt, vars belopp skulle göra det möjligt att garantera ett minimum för överlevnad för de miljarder barn och vuxna som är fullständigt utblottade.
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 = 5196 AND
t12.lemma_id = 52028 AND
t21.lemma_id = 35250 AND
t22.lemma_id = 50604),
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;
;