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Most languages have no established writing system and minimal written records. However, textual data is essential for natural language processing, and particularly important for training language models that would facilitate speech recognition. However, bilingual lexicons are often available, since creating lexicons is a fundamental task of documentary linguistics. We investigate the use of such lexicons to improve language models, when textual training data is limited to as few as a thousanddoi:10.18653/v1/e17-1088 dblp:conf/eacl/CohnBNAM17 fatcat:cygq2qbtgbehdkkrehork22liq