- Their courage and foresight consisted of holding fast to the goal of a United States of Europe.
- Modet och framsyntheten bestod i att hålla fast vid målet Europas förenta stater.
- This pragmatic approach consists of resigning oneself to the fact that drug abuse is a social phenomenon which is virtually impossible to eradicate:
- Detta pragmatiska angreppssätt består i att resignerat acceptera drogberoende som ett socialt fenomen som praktiskt taget inte kan avskaffas, som enligt föredraganden bara kan begränsas och bekämpas med metoden att begränsa skadan:
- Also unlike secular Iraq, the Afghanistan of the Taliban had taken the form of a retrograde clerical State in which one of the worst forms of repression consisted of reducing women to the status of nonentity.
- Till skillnad från det sekulära Irak hade dessutom Afghanistan under talibanregimen blivit en bakåtsträvande klerikal stat där en av de värsta formerna av förtryck bestod i att förminska kvinnornas status till obefintlighet.
- The courage and foresight of the 1950s’ generation of politicians consisted of making progress, not with all European states, not even with all the states in the west, but with those which were ready and able.
- Modet och framsyntheten hos 50-talets politikergeneration bestod i att inte börja med alla europeiska stater, inte ens med alla i väst utan började med dem som var beredda och mogna för det.
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 = 15418 AND
t12.lemma_id = 23323 AND
t21.lemma_id = 16816 AND
t22.lemma_id = 26495),
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;
;