- My colleagues have expressed unease over certain crucial points.
- Mina kollegor har uttryckt oro över vissa viktiga punkter.
- I am aware of your sensitivity and the messages that you have sent to try to achieve this aim, Mr President, but I want to stress once again that we must express our deep unease concerning the consequences of this crisis for the suffering people of Lebanon, as well as for peace and stability in the region.
- Jag känner till er mottaglighet och de budskap som ni har skickat för att uppnå detta mål, herr talman, men jag vill återigen understryka att vi måste uttrycka vår djupaste oro inför konsekvenserna som krisen får för Libanons lidande folk, och för freden och stabiliteten i regionen.
- Mr President, once again, I would like to refer to the discussion in the last debate about one-minute speeches, in which we expressed our unease about the fact that it is obviously unclear when it is your turn and that when you have applied five times, it would be nice to know when your turn will be.
- Än en gång vill jag hänvisa till diskussionen i den senaste debatten om anföranden på en minut, i vilken vi uttryckte oro över att det uppenbarligen är oklart när det är vår tur, och när man har ansökt om ordet fem gånger vore det bra att veta när det är ens tur.
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 = 61808 AND
t12.lemma_id = 61624 AND
t21.lemma_id = 56095 AND
t22.lemma_id = 19575),
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;
;