- For the moment, however, we believe it is going too far to compare the situation with the one that followed Hurricane Mitch.
- I dagsläget tycker vi dock att det är överdrivet att jämföra situationen med den efter orkanen Mitch.
- For all these reasons, Mr President, as well as our irrevocable and undeniable commitment to human rights and to the Tunisian league, I would like us to also be capable, in a balanced manner, without being overly positive or negative, of considering the general situation of the country in an objective manner, and of comparing the situation with what other African countries are experiencing, and in particular, its immediate neighbours, Algeria and Libya, which are not exactly a model of respect for human rights.
- På grund av allt detta skulle jag vilja att vi i kombination med vårt åtagande, som är oåterkalleligt och oundvikligt, med de mänskliga rättigheterna som orsak och med den tunisiska ligan också skall vara kapabla att på ett balanserat sätt, utan att överdriva ljus eller dölja skuggor, beakta den allmänna situationen i landet på objektivt sätt och jämföra situationen med den som andra afrikanska länder lever i och i synnerhet de närmaste grannarna, Algeriet och Libyen, som inte är några modeller precis när det gäller respekten för de mänskliga rättigheterna.
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 = 1900 AND
t12.lemma_id = 12815 AND
t21.lemma_id = 27880 AND
t22.lemma_id = 12815),
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;
;