Tag Archives: AGI

Characteristics of an AGI (artificial general intelligence)

What are the characteristics we want for an AGI (artificial general intelligence)? An AGI should have a very advanced capacity in NLP and language comprehension. One of the qualities we expect from an AGI is respect for multilingualism. Hopefully, the … Continue reading

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The two-language matching problem

Here is a problem for a human intelligence (or an AGI): we have a dictionary (with words, lemmas and grammatical types) in a language A and a second dictionary in a language B. If we have an extensive corpus of … Continue reading

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Prototype of text search with optional grammatical type

Let us expand the idea of text analysis derived from rule-based translation. Above is an example of a classic word-based search. In this particular case, it is the French word ‘été’. This word is ambiguous because it can be a … Continue reading

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Why it’s worth it to engage in rule-based translation

Rule-based translation is difficult to implement. The main difficulty encountered is taking into account the groups of words, so as to be on a par with statistics-based translation. The main problems in this regard are (i) polymorphic disambiguation; and (ii) … Continue reading

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Superintelligent machine translation (updated)

Let us consider superintelligence with regard to machine translation. To fix ideas, we can propose a rough definition: it consists of a machine with the ability to translate with 99% (or above) accuracy from one of the 8000 languages to … Continue reading

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Some thoughts on the remaining 1% problem

To begin with, let us state the 1% problem, for machine translation: it seems some 99% accuracy in machine translation could be attainable but the remaining 1% (1% is just a given number, somewhat arbitrarily chosen, but useful to to … Continue reading

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