Present disclosure generally relates to machine translation systems, and particularly to method and system for cross-lingual adaptation using disentangled syntax and shared conceptual latent space for low-resource natural languages. Method includes converting multi-lingual sentences received from user, to linearized...

The present disclosure pertains to a system (102), and a method (400) for identifying entities and semantic relation between one or more sentences. The system (102) can include a voice to text converter (106), a processor (202), and an output device (108). The processer (202) can be configured to receive one or more...

The present disclosure relates to a system and method for automatic recording of speech. The system is configured for end of sentence detection which may also perform as a punctuation predictor. The system uses interrelated Natural Language Processing (NLP) and Automatic Speech Recognition (ASR) with a switching mec...

Systems and methods are provided for assessing morality of a user. A request comprising an input data is received over a communication network to assess the morality corresponding to the input data. Upon receiving the request, a first vector is generated through deployment of a predefined language model based on the...

The present disclosure relates to a system (100) for infusing knowledge graphs and language models (LM) for natural language sentence pair tasks, the system include a processor (202) operatively coupled to an inference engine (102), the inference engine configured to receive a sentence indicative of a premise and a ...

The present disclosure relates to a system for generating a multilingual transcript from a multilingual audio input. The system includes a processor being configured receive, from a source, a set of first signals pertaining to the multilingual audio input. Extract, based on the set of first signals, one or more attr...

The present disclosure provides a system (110) and a method (400) for augmenting channel characteristics of audio recordings. The system (110) receives a parallel corpus comprising a first set of audio recordings having a source channel characteristic and a second set of audio recordings having a target channel char...