- This situation, which is already catastrophic, would have been aggravated still further if the OECD agreement of July 1994 had been applied, as its aim was to eliminate aid while maintaining the American protectionist legislation arising from the Jones Act and reserving a monopoly to the American merchant fleet shipbuilders.
- Denna situation som redan var katastrofal skulle ha förvärrats om OECD-avtalet från juli 1994 hade tillämpats, eftersom det syftade till att avskaffa stödet och samtidigt behålla den amerikanska protektionistiska lagstiftningen från Jones Act samt monopolet för de amerikanska tillverkarna när det gäller fartyg för kustfart.
- What I would hope is that, as a result of tomorrow’s vote, we will come up with something which is clearer, technologically neutral, at least as good for industry as is American legislation and sufficient to comply with the World International Property Organisation treaty commitments which we have entered into.
- Vad jag hoppas är att vi, som ett resultat av morgondagens omröstning, åstadkommer någonting som är klarare, tekniskt neutralt, minst lika bra för industrin som den amerikanska lagstiftningen och tillräckligt för att uppfylla de förpliktelser inom ramen för Världsorganisationen för immateriell äganderätt som vi har åtagit oss.
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 = 6485 AND
t12.lemma_id = 42160 AND
t21.lemma_id = 25910 AND
t22.lemma_id = 15253),
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;
;