Search Results for author:
Found 12 papers, 2 papers with code
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
As a solution, we propose AdaSent, which decouples SEPT from DAPT by training a SEPT adapter on the base PLM.
Improving Robustness in Real-World Neural Machine Translation Engines
As a commercial provider of machine translation, we are constantly training engines for a variety of uses, languages, and content types.
Machine Translation in Indian Languages: Challenges and Resolution
English to Indian language machine translation poses the challenge of structural and morphological divergence.
Recurrent Neural Network based Part-of-Speech Tagger for Code-Mixed Social Media Text
This paper describes Centre for Development of Advanced Computing's (CDACM) submission to the shared task-'Tool Contest on POS tagging for Code-Mixed Indian Social Media (Facebook, Twitter, and Whatsapp) Text', collocated with ICON-2016.
Experiments with POS Tagging Code-mixed Indian Social Media Text
In this paper, we have described our approaches to the POS tagging techniques, we exploited for this task.
Statistical Machine Translation for Indian Languages: Mission Hindi 2
This paper presents Centre for Development of Advanced Computing Mumbai's (CDACM) submission to NLP Tools Contest on Statistical Machine Translation in Indian Languages (ILSMT) 2015 (collocated with ICON 2015).
Reordering rules for English-Hindi SMT
Reordering is a preprocessing stage for Statistical Machine Translation (SMT) system where the words of the source sentence are reordered as per the syntax of the target language.
Statistical Machine Translation for Indian Languages: Mission Hindi
This paper discusses Centre for Development of Advanced Computing Mumbai's (CDACM) submission to the NLP Tools Contest on Statistical Machine Translation in Indian Languages (ILSMT) 2014 (collocated with ICON 2014).
Personalized Machine Translation: Preserving Original Author Traits
The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts.
Translation Quality Estimation using Recurrent Neural Network
In this paper, we propose a novel approach for word level Quality Estimation using Recurrent Neural Network Language Model (RNN-LM) architecture.
