- Finally, I would like to say on a personal note, that whilst my group will be supporting Amendment No 4, both the British delegation and I have difficulty in supporting it.
- Som en personlig kommentar skulle jag avslutningsvis vilja säga att både den brittiska delegationen och jag själv har svårt att stödja ändringsförslag 4 trots att min grupp kommer att stödja det.
- The British Socialist delegation (EPLP) voted in favour of the Cavada report and the EP’s resolution on the progress made in the EU towards the area of freedom, security and justice (AFSJ) (Articles 2 and 39 of the EU Treaty) because we support any actions to improve the transparency and effectiveness of the EU institutions and their capacity to deliver for our citizens in the field of Justice and Home Affairs.
- Den brittiska socialistiska delegationen (Europaparlamentets labourgrupp) röstade för Cavadabetänkandet och Europaparlamentets resolution om de framsteg som gjorts inom EU mot ett område med frihet, säkerhet och rättvisa (artiklarna 2 och 39 i EU-fördraget), eftersom vi stöder alla åtgärder för att förbättra öppenheten och effektiviteten inom EU:s institutioner och deras kapacitet att visa resultat på området rättsliga och inrikes frågor för våra medborgare.
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 = 'amod' AND
s2.val = 'AT' AND
t11.ctag = 'NOUN' AND
t21.ctag = 'NOUN' AND
t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 54072 AND
t12.lemma_id = 50002 AND
t21.lemma_id = 54072 AND
t22.lemma_id = 60434),
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;
;