- it begins with ’welcomes’ and ends with ’manner’.
- Det börjar med ”välkomnar” och slutar med ”sätt”.
- I was opposed to this debate ending with a resolution, and I have to say that the poverty of our document confirms my fears.
- Jag var emot att debatten skulle sluta med en resolution, och jag måste säga att torftigheten i vårt dokument bekräftar mina farhågor.
- A conspicuous example are children’s toys - dangerous ingredients contained in the paints or plastic parts can cause health problems, and poor workmanship can cause an accident which ends up with a visit to hospital.
- Ett anmärkningsvärt exempel är leksaker - farliga ingredienser som ingår i färgerna eller plastkomponenterna kan ge upphov till hälsoproblem och bristande yrkesskicklighet vid tillverkningen kan leda till olyckor som slutar med sjukhusbesök.
- I believe we need a parliamentary constituent assembly in which this Parliament and the national parliaments cooperate at least as equal partners, as a complement to the intergovernmental conference, otherwise we will end up with another failed intergovernmental conference.
- Jag tror att det måste finnas en parlamentarisk lagstiftande församling, där detta parlament och de nationella parlamenten åtminstone måste verka tillsammans som jämställda partner, för att komplettera regeringskonferensen, för annars kommer det att sluta med ytterligare ett misslyckande med regeringskonferensen.
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 = 22071 AND
t12.lemma_id = 12425 AND
t21.lemma_id = 51441 AND
t22.lemma_id = 57357),
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;
;