Abstract: Machine translation phrase table augmentation embodiments are described that employ an automatic syntax-based scheme to produce additional phrase pairs and insert them into a phrase table. One general process implementing this augmentation involves inputting one or more syntactic transfer patterns, and for each pattern synthesizing phrases in a source language of the type associated with the pattern using a source language lexicon. Phrases, such as those not found in a monolingual corpus of the source language, are eliminated from the synthesized phrases. Each of the remaining synthesized phrases is then translated into the target language using the syntactic transfer pattern, a bilingual source-to-target language dictionary, and a morphological synthesizer. Those translated phrases not found in a monolingual corpus of the target language are then eliminated. Phrase pairs made up of a remaining translated phrase and its corresponding source language phrase are then added to the phrase table being augmented.

Abstract: The present disclosure describes a system and method of transliterating Semitic languages with support for diacritics. An input module receives and pre-processes Romanized character and forwards the pre-processed Romanized characters to a transliteration engine. The transliteration engine selects candidate transliteration rules, applies the rules, and scores and ranks the results for output. To optimize search for candidate transliteration rules, the transliteration engine may apply word-stemming strategies to process inflections indicated by affixes. The present disclosure further describes optimizations as pre-processing emphasis text, caching, dynamic transliteration rule pruning, and buffering/throttling input. The system and methods are suitable for multiple applications including but not limited to web applications, windows applications, client-server applications and input method editors such as those via Microsoft Text Services Framework TSF™.

Abstract: Machine translation phrase table augmentation embodiments are described that employ an automatic syntax-based scheme to produce additional phrase pairs and insert them into a phrase table. One general process implementing this augmentation involves inputting one or more syntactic transfer patterns, and for each pattern synthesizing phrases in a source language of the type associated with the pattern using a source language lexicon. Phrases, such as those not found in a monolingual corpus of the source language, are eliminated from the synthesized phrases. Each of the remaining synthesized phrases is then translated into the target language using the syntactic transfer pattern, a bilingual source-to-target language dictionary, and a morphological synthesizer. Those translated phrases not found in a monolingual corpus of the target language are then eliminated. Phrase pairs made up of a remaining translated phrase and its corresponding source language phrase are then added to the phrase table being augmented.

Abstract: The present disclosure describes a system and method of transliterating Semitic languages with support for diacritics. An input module receives and pre-processes Romanized character and forwards the pre-processed Romanized characters to a transliteration engine. The transliteration engine selects candidate transliteration rules, applies the rules, and scores and ranks the results for output. To optimize search for candidate transliteration rules, the transliteration engine may apply word-stemming strategies to process inflections indicated by affixes. The present disclosure further describes optimizations as pre-processing emphasis text, caching, dynamic transliteration rule pruning, and buffering/throttling input. The system and methods are suitable for multiple applications including but not limited to web applications, windows applications, client-server applications and input method editors such as those via Microsoft Text Services Framework TSF™.