Multilingual Neural Machine Translation hasachieved remarkable performance by traininga single translation model for multiple languages. This paper describes our submission(Team ID- CFILT-IITB) for the MultiIndicMT:An Indic Language Multilingual …
Spoken language is different from the written language in its style and structure. Disfluencies that appear in transcriptions from speech recognition systems generally hamper the performance of downstream NLP tasks. Thus, a disfluency correction …
In this paper, we present an implementation to do load balancing in heterogeneous distributed systems using a singleton model by making use of simple technologies provided by Java Programming language. The ObjectOriented concepts in Java enable us to invoke any POJO containing the Business logic of an Application from the RMI Server program without editing the code.
Using denoising auto-encoder and backtranslation, this work beats a baseline model by a margin of 4.21 and 3.11 BLEU points where the baseline uses disfluent and fluent references, respectively, without an access to disfluent-to-fluent parallel corpus.