- Everything must be done, through legislation and other means, to reverse the situation, to reduce the excesses and abuses taking place, and staunchly to defend public radio and television worthy of the name.
- Allt måste göras, genom lagstiftning och andra medel, för att förändra situationen, för att minska de överdrifter och det missbruk som äger rum, och beslutsamt försvara en statlig radio och television värda namnet.
- In order to have a real European response we should have had a European framework for helping Greece out of its debt crisis, instead of doing it through bilateral loans.
- För att få en verkligt europeisk lösning bör vi hjälpa Grekland ut ur sin skuldkris inom en europeisk ram, i stället för att göra det genom bilaterala lån.
- It is important not to dilute this report, as many in the Group of the European People’s Party (Christian Democrats) and European Democrats and the Union for Europe of the Nations Group are attempting to do through their amendments, which would remove all talk of women having sexual and reproductive rights.
- Det är viktigt att inte försvaga detta betänkande, liksom många i Gruppen för Europeiska folkpartiet (kristdemokrater) och Europademokrater och i Gruppen Unionen för nationernas Europa försöker att göra genom sina ändringsförslag, vilka skulle avskaffa alla diskussioner om kvinnors sexuella och reproduktiva rättigheter.
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 = 'prep' AND
t11.ctag = 'VERB' AND
t21.ctag = 'VERB' AND
t12.ctag = 'ADP' AND
t22.ctag = 'ADP' AND
t11.lemma_id = 27461 AND
t12.lemma_id = 51739 AND
t21.lemma_id = 2855 AND
t22.lemma_id = 27140),
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;
;