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Recent Posts
- Grammatical taxonomy again: the case of prepositions
- Creating new grammatical types
- Evaluation of the performance after changes
- Evaluating the performance of the translation after the changes made
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- First feasability test: dictionary morphing
- Translation from Italian to Gallurese
- Adjective modifiers again
- On ‘reflexive pronouns’
- Grammatical word-disambiguation again
- First steps in gallurese language
- Hinting at the Control problem
- On the implementation of grammatical disambiguation
- The 90% rule
- A “traducidori gaddhuresu” in preparation
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Tag Archives: artificial general intelligence
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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Tagged AGI, artificial general intelligence, endangered languages, multilinguism
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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
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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Tagged AGI, artificial general intelligence, grammar checker, grammatical type, lemmatizer, machine translation, part-of-speech tagger, pluralizer, pos-tagger, rule-base translation, rule-based machine translation, rule-based MT, singularizer, text analysis, text mining
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More on the remaining 1% problem
The analysis of the Wikipedia article of the day in French is interesting, in the sense that it sheds light on the skills that will be necessary for a machine translation system to achieve a 100% accurate translation. The error … Continue reading
What is required from Artificial General Intelligence with regard to Machine Translation?
We will be interested in a series of posts to try to define what is required of an AGI (Artificial General Intelligence) in order to reach the level of superintelligence in MT (machine translation). (All this is highly speculative, but … Continue reading
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Tagged artificial general intelligence, lexical disambiguation, machine translation, rule-based machine translation, word-sense disambiguation
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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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Tagged AGI, AI, artificial general intelligence, lexical disambiguation, machine self-improvement, machine translation, MT, rule-based machine translation, self-improvement, superintelligence, superintelligent machine translation, word-sense disambiguation
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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
