Patent ID: 8275600

Claim:
A method comprising: receiving a plurality of resources, the plurality of resources including a plurality of anchor text, wherein anchor text found in a specific resource of the plurality of resources links to a different resource identified by a uniform resource locator of the different resource; determining one or more potential transliterations from the plurality of anchor text; sorting the one or more potential transliterations, based on likelihoods of the one or more potential transliterations co-occurring with text that identifies a same resource or location; identifying one or more potential transliteration pairs from the one or more potential transliterations, wherein each potential transliteration pair includes a first anchor text in a first writing system and a second anchor text in a second writing system, the second anchor text and the first anchor text linking to a same resource; for each potential transliteration pair, comparing the first anchor text and the second anchor text; and first classifying the potential transliteration pair as being a transliteration pair or not being a transliteration pair, based on the comparison; first sorting the first classified potential transliteration pairs, based on likelihoods of the first classified potential transliteration pairs being transliteration pairs, to produce first sorted potential transliteration pairs; identifying a subset of the first sorted potential transliteration pairs, the subset including potential transliteration pairs classified as being transliteration pairs and potential transliteration pairs classified as not being transliteration pairs; for each potential transliteration pair in the subset, aligning the first anchor text and the second anchor text; and extracting one or more edits from the alignment; generating a classification model, based on the one or more edits and the subset; and second classifying each of the first classified potential transliteration pairs as being a transliteration pair or not being a transliteration pair, using the classification model.