3 accepted papers
With recent advancements in language technologies, humans are now speaking to devices. Increasing the reach of spoken language technologies requires building systems in local languages. A major bottleneck here are the underlying data-intensive parts that make up such systems, including automatic spe…
Code-switching (CS), a ubiquitous phenomenon due to the ease of communication it offers in multilingual communities still remains an understudied problem in language processing. The primary reasons behind this are: (1) minimal efforts in leveraging large pretrained multilingual models, and (2) the l…
Multimodal tasks require learning joint representation across modalities. In this paper, we present an approach to employ latent stochastic models for a multimodal task image captioning. Encoder Decoder models with stochastic latent variables are often faced with optimization issues such as latent c…