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20162026
most citedReordering rules for English-Hindi SMT

16 citations · 51 across the 10 of their papers we have counts for

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Showing cs.CLShow all

9 papers · 1 filter

cs.CL2025

SafePassage: High-Fidelity Information Extraction with Black Box LLMs

Joe Barrow, Raj Patel, Misha Kharkovski +2

Black box large language models (LLMs) make information extraction (IE) easy to configure, but hard to trust. Unlike traditional information extraction pipelines, the information "…

cs.CL2019★ 1 cited

Improving Robustness in Real-World Neural Machine Translation Engines

Rohit Gupta, Patrik Lambert, Raj Nath Patel +1

As a commercial provider of machine translation, we are constantly training engines for a variety of uses, languages, and content types. In each case, there can be many variables,…

cs.CL2016★ 9 cited

Recurrent Neural Network based Part-of-Speech Tagger for Code-Mixed Social Media Text

Raj Nath Patel, Prakash B. Pimpale, M Sasikumar

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,…

cs.CL2016★ 9 cited

Experiments with POS Tagging Code-mixed Indian Social Media Text

Prakash B. Pimpale, Raj Nath Patel

This paper presents Centre for Development of Advanced Computing Mumbai's (CDACM) submission to the NLP Tools Contest on Part-Of-Speech (POS) Tagging For Code-mixed Indian Social M…

cs.CL2016

Statistical Machine Translation for Indian Languages: Mission Hindi 2

Raj Nath Patel, Prakash B. Pimpale

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) 201…

cs.CL2016★ 16 cited

Reordering rules for English-Hindi SMT

Raj Nath Patel, Rohit Gupta, Prakash B. Pimpale +1

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.…

cs.CL2016★ 4 cited

Statistical Machine Translation for Indian Languages: Mission Hindi

Raj Nath Patel, Prakash B. Pimpale, Sasikumar M

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…

cs.CL2016★ 8 cited

Translation Quality Estimation using Recurrent Neural Network

Raj Nath Patel, Sasikumar M

This paper describes our submission to the shared task on word/phrase level Quality Estimation (QE) in the First Conference on Statistical Machine Translation (WMT16). The objectiv…

cs.CL2016★ 4 cited

Personalized Machine Translation: Preserving Original Author Traits

Ella Rabinovich, Shachar Mirkin, Raj Nath Patel +2

The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts. We focus on one particular pe…