- At the same time, we need to focus more on delivering the full potential of the transatlantic market.
- Samtidigt måste vi fokusera mer på att utnyttja den transatlantiska marknadens fulla potential.
- In particular, you will be interested to see that economic relations are very close and that in many sectors it is already fair to talk about a transatlantic market.
- Intressant nog skall ni se att förbindelserna på handelsområdet är mycket goda och att vi inom många sektorer redan kan tala om en transatlantisk marknad.
- I believe that, to this end, the conclusion of a transatlantic market by 2015 is a good way of further developing the economic relationship between our two areas and being stronger in the face of the fits and starts of the global economy.
- EU och Förenta staterna är två områden som på ett allvarligt sätt har påverkats av den ekonomiska och finansiella krisen, och i en tid då verkningarna av detta fortfarande är kännbara har vi i Europaparlamentet åter velat bekräfta vår vilja att komma fram till ett gemensamt svar på denna kris och behovet av att stärka det ekonomiska samarbetet för att tillsammans ta oss ur denna svåra tid. Därför anser jag att uppnåendet av en transatlantisk marknad senast 2015 är ett bra sätt att ytterligare utveckla de ekonomiska förbindelserna mellan våra båda områden och att bli starkare inför den globala ekonomins förändringar.
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 = 22833 AND
t12.lemma_id = 55725 AND
t21.lemma_id = 23925 AND
t22.lemma_id = 21291),
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;
;