- we bring about peace, we have knowledge to share and a special kind of wisdom to pass on, wherever we are, including in Turkey.
- vi åstadkommer fred, vi har kunskaper att delge och en särskild sorts vishet att föra vidare, oavsett var vi befinner oss, däribland i Turkiet.
- Naturally, both these require the Commission to have a good knowledge of the current infrastructure and market - and that is what this proposal is about.
- Båda kräver naturligtvis att kommissionen har goda kunskaper om hur infrastrukturen och marknaden ser ut, och det är innehållet i detta förslag.
- In order for all policies to be similarly permeated by the concept of equality, it is especially important that people in key posts should have the basic knowledge required.
- Om hela politiken skall genomsyras, tror jag att det är särskilt viktigt att cheferna på hög nivå har denna grundläggande kunskap.
- We have the knowledge, but we do not have the support for the industry to allow us to compete in post-production, because to speak now of script-led cinema is to speak of times past, it is to speak of the theatre-cinema in which the camera follows the actor around.
- Vi har kunskaper, men vi saknar stödet för industrin så att vi kan konkurrera med efterproduktionen, för att tala om film efter manuskript är som att tala om en förlegad tid, det är som att tala om teaterfilm där kameran följer skådespelaren hack i häl.
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 = 52845 AND
t21.lemma_id = 54893 AND
t22.lemma_id = 63722),
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;
;