- Nothing is more essential than to make local enterprise independent, and build horizontal relations between the countries of Africa, Asia and also Latin America.
- Inget är mer grundläggande än att göra lokala företag oberoende och bygga horisontella förbindelser mellan länder i Afrika, Asien och Latinamerika.
- Since the five Central Asian Republics - Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan became independent in 1991 with the breakup of the Soviet Union, the European Union has been engaged in the process of building bilateral relations with each of them.
- Eftersom de fem centralasiatiska republikerna - Kazakstan, Kirgizistan, Tadjikistan, Turkmenistan och Uzbekistan blev oberoende 1991 i samband med Sovjetunionens upplösning, har Europeiska unionen varit engagerad i processen för att bygga upp bilaterala förbindelser med var och en av dessa stater.
- 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.
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 = 63682 AND
t12.lemma_id = 8122 AND
t21.lemma_id = 19672 AND
t22.lemma_id = 38750),
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;
;