- It is not without interest this week, when we are debating this report on voice telephony, that the record-breaking World Trade Organization agreement has finally been concluded.
- Det är inte helt utan intresse denna vecka när vi debatterar detta betänkande om rösttelefoni, att Världshandelsorganisationens avtal, som sätter nya rekord, äntligen har ingåtts.
- The deadline for amendments will be set as soon as we have this confirmation, and are thus in a position to debate the report.
- När vi är förvissade om det, och därmed kan debattera betänkandet, kommer tidsfristen för ingivande av ändringsförslag att fastställas.
- Madam President, today we are debating a very important report, on the basis of which the distribution of seats in the next term of Parliament is to be made.
- I dag debatterar vi ett mycket viktigt betänkande, på grundval av vilket platserna i parlamentet ska fördelas under nästa valperiod.
- Mr President, as we were debating Mr Louis Grech’s excellent report, I gained the impression that both Parliament and the Commission were aware of the need to make the internal market more socially oriented.
- När vi debatterade Louis Grechs utmärkta betänkande fick jag intrycket av att både parlamentet och kommissionen var medvetna om att den inre marknaden måste bli mer socialt orienterad.
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 = 58987 AND
t12.lemma_id = 22983 AND
t21.lemma_id = 29026 AND
t22.lemma_id = 35254),
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;
;