- We in this House cannot debate Burma every month, but we must think how we can help the Burmese people every day until they are free, and this report and these proposals are a part of that process.
- Vi här i kammaren kan inte debattera Burma varje månad, men vi måste tänka efter hur vi kan hjälpa det burmesiska folket varje dag tills dess att det är fritt, och detta betänkande och dessa förslag utgör ett led i den processen.
- I hope the EU negotiators will take on board this Parliament’s wishes and as a result I will be looking for more and more labels on supermarket shelves in future telling me that I can buy fair trade goods and help the people of the developing world who make them.
- Jag hoppas att EU:s förhandlare tar i beaktande detta parlaments önskemål, och som ett resultat kommer jag i framtiden att leta efter fler och fler märken på snabbköpshyllorna som talar om för mig att jag kan köpa varor från rättvis och solidarisk handel och hjälpa de folk i tredje världen som tillverkar dem.
- Against that backdrop, it is absolutely right for the specific proposals that have been laid on the table - not least including a few new suggestions from Mr Gahler - to be discussed in detail and for us to consider what we can do to intervene against human rights violations all over the world and to help the people of the world.
- Mot denna bakgrund är det helt rätt att ingående diskutera de konkreta förslag som har lagts fram, inte minst de nya förslagen av Michael Gahler, och överväga vad vi kan göra för att ingripa mot kränkningar av de mänskliga rättigheterna överallt i världen och hjälpa världens folk.
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 = 12850 AND
t12.lemma_id = 43011 AND
t21.lemma_id = 14502 AND
t22.lemma_id = 54233),
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;
;