- Does that mean that in the not too distant future, prices on routes through Luxembourg are to be calculated on the basis of the cheapest supplier?
- Innebär det att järnvägsavgifterna genom Luxemburg inom en inte alltför avlägsen framtid skall beräknas utifrån den billigaste leverantörens priser?
- We will also, I believe, gradually see the Nordic region enlarged here in the EU to include Iceland and, I imagine, also Norway within the not too distant future.
- Vi får också så småningom, tror jag, se Norden utvidgas här i EU med Island och, gissar jag, också inom en icke avlägsen framtid med Norge.
- I wonder if the European Parliament might find a way of establishing some sort of mutual respect or paying heed to the issues that arise from the functioning of the presidency, bearing in mind that the Greek Presidency will have to go back to Greece at some point within the not too distant future.
- Jag undrar om Europaparlamentet skulle kunna finna ett sätt att upprätta en sorts ömsesidig respekt eller ta hänsyn till de frågor som uppstår ur funktionen av ordförandeskapet, med i åtanke att det grekiska ordförandeskapet kommer att vara tvungna att åka tillbaka till Grekland vid någon tidpunkt inom en inte alltför avlägsen framtid.
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 = 47826 AND
t12.lemma_id = 38394 AND
t21.lemma_id = 46302 AND
t22.lemma_id = 15440),
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;
;