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Category Archives: blog
6/7: sixth open test
Today we are conducting the sixth open test. The result is 1 – (4/123) = 96.7%. There are three errors. The current, provisional average is: (98.61 + 93.75 + 93.93 + 95.34 + 99.42 + 96.74)/5 = 96.29%.
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5/7: fifth open test
Today we are conducting the fifth open test. The result is 1 – (1/175) = 99.42%. There is only one error (level of difficulty: medium) due to the incorrect translation of the proper name: ‘del Monte’. Otherwise, several sentences are … Continue reading
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4/7: fourth open test
Today we are conducting the fourth open test. The result is 1 – (8/172) = 95.34%. There is one error (level of difficulty: easy) due to lack of vocabulary (‘escaladées’, ‘valaisan’). There are also some errors (level of difficulty: medium) … Continue reading
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3/7: third open test
Today we are conducting the third open test. The result is 1 – (8/132) = 93.93%. There are several errors (level of difficulty: easy) due to lack of vocabulary (‘alunissage’, ‘plaqué”). There is also an error (level of difficulty: medium) … Continue reading
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2/7: Second open test
Today we are conducting the second open test. The result is 1 – (7/112) = 93.75%. There are several errors (level of difficulty: easy) due to lack of vocabulary (‘même’, ‘raillerie’, ‘elocution’). There is also an error (level of difficulty: … Continue reading
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1/7: Evaluation of the translator’s current performance: start of a series of 7 open tests
We will evaluate the translator’s current performance, using a series of seven open tests. The aim is to translate the first 100 words of the article of the day from the wikipedia encyclopedia into French for seven consecutive days. Today, … Continue reading
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500 users for the Traduttore corsu application for Android
There are now 500 users for the Traduttore corsu application for Android. There are also 200 users for the Traduttore corsu for windows application.
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Palindroms in Corsican language
Here are a certain number of palindromes, in each of the main variants of the Corsican language: cismuntincu: apa (bee), ala (wing), anilina (aniline), elle (them), ebbe (did have), esegese (exegesis), issi (you hoist), inni (hymns), usu (usage) sartinesu: abba … Continue reading
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Further reflexions on the status of “I love you” in Corsican language
Let us briefly recall the problem: translating ‘I love you’ might sound trivial, but it’s not. In fact, ‘ti amu‘ is not the best translation. The best translation is ‘ti tengu caru‘ when addressed to a male person, or ‘ti … Continue reading
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Tagged ambiguity, Corsican language, disambiguation, French grammar, grammar, I love you, machine translation, personal object pronoun, pronoun resolution
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Update to priority pairs for endangered languages
If we were to update the priorities for language pairs to be achieved, from the point of view of endangered languages, the result would be as follows: Corsican language: French to Corsican (already done) Sardinian Gallurese: Italian to Gallurese Sardinian … Continue reading
The enigmatic grammatical status of “I love you” in Corsican language
Translating ‘I love you’ might sound trivial, but it’s not. In fact, ‘ti amu‘ is not the best translation. The best translation is ‘ti tengu caru‘ when addressed to a male person, or ‘ti tengu cara‘ when addressed to a … Continue reading
The taxonomy optimization problem
Let us add further reflexions on the remaining 1% problem. As hinted at previously, the remaining 1% problem may only be solved by general AI (GAI). Let us sketch in a series of posts what features are required for general … Continue reading
One hundred users for the Traduttore corsu app for Android
The Traduttore corsu application for Android has now more than a hundred users. Moving on…
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Tagged traduttore corsu, traduttore corsu app, traduttore corsu for Android
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More on polymorphic disambiguation…
Let’s take another look at polymorphic disambiguation. We shall consider the French word sequence ‘nombre de’. The translation into Corsican (the same goes for English and other languages) cannot be identical, because ‘number of’ can be translated in two different … Continue reading
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Tagged disambiguation, machine translation, polymorphic disambiguation, translation
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Performing our first open test of the year
Let us comment on the remaining errors encountered in the above open test: French ‘carrière’ remains undisambiguated: either carriera (career) or cava (quarry): two occurrences ‘de’: French ‘de’ is perhaps the most difficult word to translate into another language, due … Continue reading
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Tagged disambiguation, semantic disambiguation, translation, word-sense disambiguation
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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
More on two-sided grammar
Let us expand the idea of two-sided (from the analytic/synthetic duality standpoint) grammatical analysis: consider, for example, ‘beaucoup et souvent’ (a lot and often) in the sentence ‘il mange beaucoup et souvent’ (he eats a lot and often). Analytically, ‘beaucoup … Continue reading
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Tagged analytic/synthetic duality, dualities, duality, two-sided grammar
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New version on Android Playstore
The application now changes its name on the Android Playstore, and becomes “Traduttore corsu”: the name is not very original, let’s face it, but at least it is easy to understand. “Traduttore corsu” is dedicated especially to the translation from … Continue reading
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Tagged french-corsican, playstore, traduttore, traduttore corsu, traduttori, traduttori corsu, translate, translation, translation app
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Some advance in polymorphic disambiguation
Just powered the new engine (prototypal, not yet transferred to the API which is used both by the current site translator and the Android application) and made a few tests: it works! Let us take an example with French ‘en … Continue reading
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Follow-up to Autonomous MT system
Closely related to my previous post on autonomous MT systems is the article on the fact that Researchers have developed a machine-learning system capable of deciphering lost languages.
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Autonomous MT system
Let us speculate about what could be an autonomous MT system. In the present state of MT we provide rules and dictionary to the software (rules-based translation) or we feed it with a corpus regarding a given pair of languages … Continue reading
On the statistical/rule-based divide regarding MT
The classical divide with regard to MT separates statistical from rule-based MT. But this divide is not as clear-cut as one could think at first glance. For rule-based MT can operate statistically. Let us take an example, concerning the disambiguation … Continue reading
Priority pairs for endangered languages
Let us discuss the question of priority pairs with regard to endangered languages. It consists of the most wanted translation pairs for a given endangered language, in keeping with the main language with which it is associated. To take an … Continue reading
More on two-sided grammatical analysis
Let us give some further examples of two-sided grammatical analysis: “à dessein” (purposedly), “à volonté” (at will), “à tort” (mistakenly): from an analytical standpoint, these are prepositions followed by a singular noun. From a synthetical viewpoint, they are adverbs (adverbial … Continue reading
Two-sided grammatical analysis
Let us call two-sided grammatical analysis the type of grammatical analysis that will be described below. Two-sided grammatical analysis contrasts with one-sided analysis, which sees a sequence of words either as a locution type (adverbial locution, verbal locution, noun locution, … Continue reading
A hard case for disambiguation: polymorphic disambiguation
Let us investigate an issue that relates to disambiguation. It is a hard case that needs to be addressed: I shall call it in what follows, for reasons that will become clearer later, polymorphic disambiguation. Let us take an example. … Continue reading
Some ethics for MT related to endangered languages
Let us sketch what could be some ethical requirements related to machine translation regarding endangered languages. Perhaps a first requirement would be: don’t publish translation pairs regarding an endangered language until the success rate has reached at least 90%. Because … Continue reading
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Word sense disambiguation: a hard case
Let us consider a hard case for word sense disambiguation, in the context of French to Corsican MT. But the same goes for French to English MT. It relates to French words such as: ‘accomplit’, ‘affaiblit’, ‘affranchit’, ‘alourdit’, ‘amortit’. The … Continue reading
More on grammatical type disambiguation
Let us focus on grammatical type disambiguation, which is a subproblem of word disambiguation. General grammatical types are: verbs, nouns, adjectives, adverbs, prepositions, gerundive, etc. But for grammatical type disambiguation purposes, more accuracy is in order: instances of grammatical types … Continue reading
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Tagged disambiguation, grammatical type disambiguation, word-sense disambiguation
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New insight on the issue of pair reversal (updated)
The issue of pair reversal: it goes as follows: Suppose your have a given translation pair A>B that translates language A into language B, how hard is it to build the reverse pair B>A? Now the current instance of this … Continue reading
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Tagged machine translation, translation pair reversal, word-sense disambiguation
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