In recent work, we proposed an alternative to parallel text as translation model (TM) training data: audio recordings of parallel speech (pSp), as it occurs in any communication s...
Named Entity recognition (NER) is an important part of many natural language processing tasks. Current approaches often employ machine learning techniques and require supervised d...
This paper presents an automatic methodology we used in an experiment to acquire a morphological lexicon for the Slovak language, and the lexicon we obtained. This methodology exte...
Medical histories provide a rich resource for diagnoses and treatment. Similarly, consumers’ blog postings on health-related topics offer unique data for medical researchers, pr...
This paper investigates the effectiveness of online temporal language model adaptation when applied to a Thai broadcast news transcription task. Our adaptation scheme works as fol...