- We are encouraged that both parties have agreed on a number of principles, particularly to work for two viable states with ’soft’ borders, and to build constructive relations.
- Vi gläds åt det faktum att de båda parterna har enats om en rad principer, framför allt att arbeta för upprättandet av två livskraftiga stater med ”mjuka” gränser och att bygga upp konstruktiva förbindelser.
- Of course, the problems are not only military and strategic, but a total victory over the Taliban remains, of course, the conditio sine qua non for the construction of a viable state with an independent judiciary and critical media.
- Men en total seger över talibanerna är självklart fortfarande ett oeftergivligt villkor för att kunna bygga en livskraftig stat med ett oberoende rättsväsende och kritisk media.
- Mr President, ladies and gentlemen, we are all political men and women in this House, and we are perfectly aware that the highest of the political values is unity and that, without unity, it will not be possible to realise the dream of a viable Palestinian State living in peace with its neighbours.
- Vi är alla politiker i parlamentet, och vi är fullt medvetna om att det högsta politiska värdet är enighet och att det utan enighet är omöjligt att förverkliga drömmen om en livskraftig palestinsk stat som lever i fred med sina grannar.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 17513 AND
t12.lemma_id = 64997 AND
t21.lemma_id = 54759 AND
t22.lemma_id = 42094),
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;
;