- Codes of conduct, as mentioned here, also represent a positive step.
- Uppförandekoder, som nämns här, är också ett positivt steg.
- Mr President, Commissioner, ladies and gentlemen, the Laeken Declaration on the future of the European Union is a positive step towards a European Union that is more citizen-oriented and more transparent.
- Laekenförklaringen om Europeiska unionens framtid är ett positivt steg mot en medborgarvänligare och öppnare europeisk union.
- The Commission has received invaluable help from the Lisbon agency in preparing this recommendation, which I see as a positive step for drug users as well as public health in general.
- Kommissionen har fått ovärderlig hjälp från centrumet i Lissabon med att utarbeta den här rekommendationen, vilket jag ser som ett positivt steg för både narkotikamissbrukarna och folkhälsan i allmänhet.
- the victory of the ’yes’ vote in Ireland’s referendum on the Treaty of Lisbon is an extremely positive step for the revitalisation of the European Union and for the crucial political and institutional reforms provided for by the Treaty.
- Det råder inget tvivel om att ja-sidans seger i Irlands folkomröstning om Lissabonfördraget är ett oerhört positivt steg när det gäller att återuppliva Europeiska unionen och genomföra de avgörande politiska och institutionella reformer som fördraget medför.
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 = 34306 AND
t12.lemma_id = 62453 AND
t21.lemma_id = 48445 AND
t22.lemma_id = 14546),
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;
;