- I am therefore extremely pleased at our being able, tomorrow, to adopt a directive that gives workers better protection than that which they have at present.
- Jag är därför ytterst nöjd med att vi i morgon kan anta ett direktiv som ger arbetstagarna ett bättre skydd än de har i dag.
- This agreement is the first step towards better protection for citizens faced with growing attempts made by certain States and private operators to trivialise the principle of flexible response, data storage and the control of digital exchange on the internet.
- Denna överenskommelse är första steget mot ett bättre skydd av medborgarna, som möts av allt fler försök av vissa stater och privata operatörer att trivialisera principen om ett flexibelt svar, datalagring och kontrollen av digitalt utbyte på Internet.
- Once ACTA is concluded, it will be open to all countries to sign it, and I hope that China will come to the conclusion that, for their own industry too, it would be beneficial if there were better protection of intellectual property rights, and sooner or later, that will come.
- När Acta-avtalet har slutits kommer alla länder att kunna skriva under det, och jag hoppas att Kina kommer att dra slutsatsen att det skulle vara fördelaktigt med ett bättre skydd av den immateriella äganderätten, även för deras egen industri, och det kommer att ske förr eller senare.
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 = 48514 AND
t12.lemma_id = 12586 AND
t21.lemma_id = 38759 AND
t22.lemma_id = 2973),
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;
;