- Allow me firstly to thank Commissioner Vitorino for his valuable comments.
- Tillåt mig först att tacka kommissionsledamot Vitorino för hans värdefulla synpunkter.
- Since then, substantial progress has been made on the part of the Member States by way of the Italian feasibility study, and on the part of the Commission by way of this communication, for which I thank Commissioner Vitorino.
- Sedan dess har medlemsstaterna gjort viktiga framsteg genom den italienska genomförbarhetsundersökningen, och kommissionen genom detta meddelande - för vilket jag vill tacka kommissionär Vitorino.
- Mr President, as the Member who has the honour of chairing the Committee on Citizens’ Freedoms and Rights, Justice and Home Affairs, I would like to thank Commissioner Vitorino and Ministers Bodström and Klingvall for the spirit of loyal cooperation in which they have approached the construction of the area of freedom, security and justice.
- I egenskap av den ledamot som har äran att vara ordförande för utskottet för medborgerliga fri- och rättigheter samt rättsliga och inrikes frågor, skulle jag vilja tacka kommissionär Vitorino och ministrarna Bodström och Klingvall för den lojala samarbetsanda med vilken de har närmat sig inrättandet av ett område med frihet, säkerhet och rättvisa.
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 = 17711 AND
t12.lemma_id = 6160 AND
t21.lemma_id = 35943 AND
t22.lemma_id = 6160),
stats AS (SELECT
sentence_id,
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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;
;