1. A computer-implemented method for automatic cognate detection, the method comprising: stemming, by a processor, a first word in a first language in a bilingual corpus to obtain a first stem and a second word in a second language in the bilingual corpus to obtain a second stem; calculating, by the processor, a probability for aligning the first stem and the second stem; normalizing, by the processor, the first stem and the second stem; calculating, by the processor, a distance metric between the normalized first stem and the normalized second stem identifying, by the processor, the first word and the second word as a cognate pair when the probability and the distance metric meet a threshold criterion; storing the cognate pair in a set of cognates; retrieving a candidate sentence in the second language from a corpus; filtering the candidate sentence by an active vocabulary of a user in the second language and the set of cognates; calculating a sentence quality score for the candidate sentence; and ranking the candidate sentence for presentation to the user based on the sentence quality score.
1. A computer-implemented method for automatic cognate detection, the method comprising: stemming, by a processor, a first word in a first language in a bilingual corpus to obtain a first stem and a second word in a second language in the bilingual corpus to obtain a second stem; calculating, by the processor, a probability for aligning the first stem and the second stem; normalizing, by the processor, the first stem and the second stem; calculating, by the processor, a distance metric between the normalized first stem and the normalized second stem identifying, by the processor, the first word and the second word as a cognate pair when the probability and the distance metric meet a threshold criterion; storing the cognate pair in a set of cognates; retrieving a candidate sentence in the second language from a corpus; filtering the candidate sentence by an active vocabulary of a user in the second language and the set of cognates; calculating a sentence quality score for the candidate sentence; and ranking the candidate sentence for presentation to the user based on the sentence quality score. 5. The method of claim 1 , wherein calculating the distance metric comprises mapping between characters or groups of characters of the first and second languages, wherein the first language and second language have different alphabets; or phonetic transformation of the first stem and the second stem.