- She is the mother of a strapping boy, both are doing well and she would like to combine work and family as quickly as possible and resume her work in this House.
- Hon har fått en pigg pojke, båda mår bra och hon vill försöka kombinera arbeta och familj så snart som möjligt och återuppta sitt arbete i kammaren.
- An agreement has also been reached between Hans Blix and Iraq whereby the inspectors are to be allowed to resume the work which was in actual fact suspended when the USA and the UK started their last bombing campaign.
- En överenskommelse har också ingåtts mellan Hans Blix och Irak om att inspektörerna skall tillåtas att återuppta det arbete som faktiskt avbröts när USA och England började bombningarna förra gången.
- A delegation from the Council of Europe recently visited Japan to participate in a seminar organised by the Japanese Diet and, in spite of what Mr Ford says, the Parliamentary League, which has actually been in existence for nine years, had been somewhat in abeyance and has only resumed its work very recently.
- En delegation från Europarådet reste nyligen till Japan för att delta i ett seminarium som hölls i Japans riksdag, och trots vad Ford säger, var den parlamentariska allians som mycket riktigt existerar sedan nio år tillbaka lite halvsovande och har helt nyligen återupptagit sitt arbete.
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 = 15543 AND
t12.lemma_id = 10877 AND
t21.lemma_id = 58793 AND
t22.lemma_id = 40666),
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;
;