- Mr President, ladies and gentlemen, we do not accept the proposal on the exploitation of Mediterranean fishery resources because it is unscientific.
- Vi godkänner inte förslaget om exploatering av fiskeresurserna i Medelhavet eftersom det är ovetenskapligt.
- The introduction of an independent external element is, therefore, important, and I welcome the fact that you have accepted that proposal.
- Införandet av en oberoende extern faktor är därför viktig, och jag välkomnar det faktum att ni har godkänt detta förslag.
- Mr President, ladies and gentlemen, in view of the subject, the time allowed to submit the amendments seems sufficient, so I think that we should not accept the proposal.
- Med hänsyn till ämnet verkar tidsfristen för ingivande av ändringsförslag tillräcklig, så jag anser inte att vi bör godkänna förslaget.
- The Commission is therefore seeking to confirm to both the Israeli Government and the Palestinian authorities that we are willing to accept this proposal, which we feel will allay the concerns that you have raised here, Mrs Morgantini.
- President Yassir Arafat godtog detta förslag i samband med mötet med kommissionär Christopher Patten den 24 januari och därför avser kommissionen att, såväl för den israeliska regeringen som de palestinska myndigheterna, bekräfta att vi är beredda att godkänna detta förslag som vi anser svarar mot den oro som ledamoten här har gett uttryck för.
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 = 23282 AND
t12.lemma_id = 45743 AND
t21.lemma_id = 24137 AND
t22.lemma_id = 12133),
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;
;