- Nevertheless, we have a problem with certain aspects of the package.
- Det hindrar inte att vi har svårigheter med vissa delar av paketet.
- These countries undoubtedly have serious problems, since they have emerged, after all, from foreign occupation and dictatorship, which has invariably led to a certain breakdown of a nation’s moral fibre;
- Jag tycker det är ett klart hyckleri av oss att vi här stiger fram som lärare för dessa länder som säkert har stora svårigheter, för det är ju ändå så att de kommit loss från utländsk ockupation och diktatur, vilket ju har lett till att de moraliska strukturerna i viss mån har blivit förstörda.
- We are working and making our own preparations, but, ladies and gentlemen, just because we are going to integrate some very poor regions in Eastern Europe into the European Union as of 2003 - and you know full well just how very impoverished they are - does not mean that, suddenly, because of enlargement, we shall think that poor regions in the West or the South, or impoverished outermost regions, have no more problems.
- Det finns regler, vi arbetar på det, vi förbereder oss, men, mina damer och herrar parlamentsledamöter, det är inte för att vi från och med år 2003 skall släppa in mycket fattiga regioner i öst - och ni vet mycket väl att de är mycket, mycket fattiga - som plötsligt de fattiga regionerna i väst och söder eller de fattiga regionerna i de yttersta randområdena på grund av utvidgningen kommer att upphöra att ha svårigheter.
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 = 13883 AND
t21.lemma_id = 54893 AND
t22.lemma_id = 60650),
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;
;