Abstract--This paper presents a model for machine aided human translation (MAHT) that integrates source language text and target language acoustic information to produce the text t...
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
The development of a speech translation (ST) system is costly, largely because it is expensive to collect parallel data. A new language pair is typically only considered in the af...
The needs for managing similar documents in different languages increases with the growing amounts of electronic information available in documents of the same type (e.g. news str...
Roberto Basili, Maria Teresa Pazienza, Fabio Massi...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...