- On the other hand, after the Gaza takeover by Hamas, there is now a high risk of separation between parts of the Palestinian Territory.
- Å andra sidan finns det nu en stor risk för separation mellan parter på det palestinska området efter att Hamas tagit över Gaza.
- If there really is a recovery in Europe at the moment, fortuitously accelerated by the decline in South-East Asian capital, then on the contrary monetary unification, and the super-state soon to follow it, run a high risk of limiting growth.
- Om det verkligen existerar en återhämtning i Europa i dag, som tursamt nog påskyndats av att kapital dragits tillbaka från Sydostasien, så finns det tvärtom en stor risk att det valutapolitiska enandet, och den superstat som kommer att följa tätt därpå, begränsar tillväxten.
- A specific analysis of the friction costs allied to intermodal freight transport reveals that the main drawbacks compared to traditional unimodal transport can be identified as high costs, longer time frames, inferior quality, higher risks of damage to goods, restrictions as to the types of goods that can be transported, and more complex administrative procedures.
- Om man analyserar de friktionskostnader som sammanhänger med godstransporter i detalj visar det sig att de mest kritiska elementen, vad gäller traditionella unimodala transporter, kan urskiljas vara höga priser, längre tidsåtgång, ökning av den genomsnittliga transportsträckan, minskad kvalitet, större risker för skador på lasten, begränsningar av vilka slags varor som kan transporteras och mer komplicerade administrativa rutiner.
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 = 43144 AND
t12.lemma_id = 23000 AND
t21.lemma_id = 43144 AND
t22.lemma_id = 35323),
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;
;