Code-switching, the alternation of languages within a conversation or utterance, is a
common communicative phenomenon that occurs in multilingual communities across the …

Code-mixing, the interleaving of two or more languages within a sentence or discourse is
ubiquitous in multilingual societies. The lack of code-mixed training data is one of the major …

Despite the rapid progress in automatic speech recognition (ASR) research, recognizing
multilingual speech using a unified ASR system remains highly challenging. Previous works …

To date, efforts in the code-switching literature have focused for the most part on language
identification, POS, NER, and syntactic parsing. In this paper, we address machine …

Abstract Language modeling is the technique to estimate the probability of a sequence of
words. A bilingual language model is expected to model the sequential dependency for …

Abstract Machine translation of user-generated code-mixed inputs to English is of crucial
importance in applications like web search and targeted advertising. We address the …

Code-Switching (CSW) is a common phenomenon that occurs in multilingual geographic or
social contexts, which raises challenging problems for natural language processing tools …

Conversational bilingual speech encompasses three types of utterances: two purely
monolingual types and one intra-sententially code-switched type. In this work, we propose a …

In this work, we seek to build effective code-switched (CS) automatic speech recognition
systems (ASR) under the zero-shot set-ting where no transcribed CS speech data is …

Pre-trained language-vision models have shown remarkable performance on the visual
question answering (VQA) task. However, most pre-trained models are trained by only …