- We have an opportunity.
- Vi har chansen.
- We now have an opportunity to harness the enthusiasm of the population, stakeholders and other responsible parties.
- Nu har vi chansen att ta vara på och bygga vidare på medborgarnas och andra berörda parters entusiasm.
- 20 ratio and that under the reform the smaller farmers will in fact have distinctly greater opportunities than they used to.
- 20-förhållande, och att egentligen de mindre jordbrukarna genom reformen kommer att ha klart fler chanser än som tidigare varit fallet.
- The world now has a historic opportunity at the Pittsburgh G20 Summit to agree once again on the rules of the global economy.
- Nu vid G20-mötet i Pittsburgh har världen en historisk chans att än en gång enas om reglerna för den globala ekonomin.
- We have an opportunity tomorrow to vote for the 21st century, its consumers, traders and citizens by voting for the committee’s report or we can look at the future and then turn our back on it and find superficial comfort in the last century by voting for the amendments.
- I morgon har vi chansen att rösta för det tjugonde århundradet, dess konsumenter, affärsidkare och medborgare genom att rösta för utskottets betänkande, eller också kan vi titta på framtiden och sedan vända den ryggen och finna en mager tröst i det förra århundradet genom att rösta för ändringsförslagen.
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 = 48540 AND
t12.lemma_id = 55940 AND
t21.lemma_id = 54893 AND
t22.lemma_id = 27264),
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;
;