- The ideas of young researchers at universities and research institutes provide the vital spark.
- Unga forskare vid universitet och på forskningsinstitut bidrar med nya idéer.
- I myself am supervising the thesis of a young French researcher, Mr Huet, on the issue of international trade and its system of taxation, that is, the whole problem of the risk of cyberevasion, of a taxation of cyberspace yet to be invented, the Internet services, call back, down loading of software, intangible services, and the whole difficulty of the digital influx which cannot be regulated or controlled, and a business which it is said could reach 70 billion dollars by the year 2000.
- Jag är själv handledare åt en ung fransk forskare, Huet, som skriver en avhandling om problemet med den internationella handeln och beskattningen av denna, det vill säga hela problemet med riskerna för ”cyberevasion”, med den beskattning av cyberspace som måste konstrueras, internet-tjänsterna, call back, teleavgifter för programvara, immateriella tjänster och hela svårigheten med dessa digitala flöden som inte går att reglera eller kontrollera, och en handel som påstås kunna uppgå till 70 miljarder dollar runt år 2000.
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
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t12.ctag = 'ADJ' AND
t22.ctag = 'ADJ' AND
t11.lemma_id = 18507 AND
t12.lemma_id = 55501 AND
t21.lemma_id = 27323 AND
t22.lemma_id = 12652),
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
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FROM
numbered
JOIN token ON token_id = t21
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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
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JOIN typestr USING (type_id)
GROUP BY i, n, w, c, c_aligned, c_target, sentence_id
ORDER BY w DESC, i, n;
;