- No one has ever died of hypocrisy, of course.
- Det är naturligtvis ingen som någonsin dött av hyckleri.
- How are we going to justify ourselves to the children who are suffering from malnutrition and are even dying of hunger and who need emergency aid?
- Hur skall vi kunna stå till svars inför de barn som lider av undernäring och som till och med dör av svält och som behöver akuta insatser?
- That organization estimates that 10 000 children under the age of seven are dying of hunger each month, and tens of thousands more are suffering from severe malnutrition.
- Organisationen har nämligen uppskattat att hela 10 000 barn under 7 år dör av svält varje månad.
- Let me remind you, ladies and gentlemen, that in the course of the last five years, somewhere between two and four million people have died of starvation under this idyllic regime.
- Jag påminner er, kära kolleger, att under de senaste fem åren har mellan två och fyra miljoner människor dött av hunger i den paradisiska regionen.
- Madam President, Commissioner, ladies and gentlemen, it was said earlier that, every five seconds, a child dies of hunger and poverty somewhere in the world, and it is estimated that more than a billion people suffer from malnutrition.
- Det sades tidigare att ett barn i världen dör av hungersnöd och fattigdom var femte sekund, och att det enligt beräkningar finns 1 miljard människor som lider av undernäring.
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 = 63279 AND
t12.lemma_id = 23323 AND
t21.lemma_id = 11186 AND
t22.lemma_id = 3216),
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;
;