- Remember that one night of power cuts in New York led to looting and crime, in the world’s largest democracy.
- Kom ihåg att en natt med strömavbrott i New York ledde till plundring och brott, i världens största demokrati.
- Mr President, we are seeing on a daily basis that India, the largest democracy in the world, is making considerable progress in strengthening its political, economic and social structures.
- Indien, världens största demokrati, visar dag för dag att befästandet av politiska, ekonomiska och sociala strukturer gör avsevärda framsteg.
- The EU has to make it clear to the world’s largest democracy, the USA, that all countries must abide by international law and that the law of the street is not acceptable, even against dictators.
- EU måste göra klart för världens största demokrati, USA, att den internationella folkrätten måste följas av alla länder och att nävrätten inte godtas, inte ens mot diktatorer.
- We have much in common with India - it is the largest democracy in the world, it is a country which acts as a stabilising influence internationally, and it is our ally in the fight against international terrorism.
- Vi har mycket gemensamt med Indien, som är världens största demokrati och ett land som fungerar som en stabiliserande kraft på den internationella arenan samt vår bundsförvant i kampen mot den internationella terrorismen.
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 = 54559 AND
t12.lemma_id = 44509 AND
t21.lemma_id = 18052 AND
t22.lemma_id = 35323),
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;
;