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Found 26 papers, 1 papers with code
Part of Speech Tagging for a Resource Poor Language : Sindhi in Devanagari Script using HMM and CRF
Part of speech tagging is a pre-processing step of various NLP applications.
Implications of Deep Circuits in Improving Quality of Quantum Question Answering
Question Answering (QA) has proved to be an arduous challenge in the area of natural language processing (NLP) and artificial intelligence (AI).
Improving the Quality of Neural Machine Translation Through Proper Translation of Name Entities
For person names the accuracy was 99. 86%, for location names the accuracy was 99. 63% and for organization names the accuracy was 99. 05%.
Towards Transliteration between Sindhi Scripts from Devanagari to Perso-Arabic
In this paper, we have shown a script conversion (transliteration) technique that converts Sindhi text in the Devanagari script to the Perso-Arabic script.
A Model for Translation of Text from Indian Languages to Bharti Braille Characters
People who are visually impaired face a lot of difficulties while studying.
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation
In this paper, we have shown the improvement of English to Bharti Braille machine translation system.
Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset
We have used 1000 questions from SQuAD 2. 0 dataset for testing the developed system and it gives satisfactory results.
Evaluating the Performance of Some Local Optimizers for Variational Quantum Classifiers
Quantum ML models were trained using 100 epochs and 150 epochs on using EfficientSU2 variational circuit.
Classifier-Based Text Simplification for Improved Machine Translation
Machine Translation is one of the research fields of Computational Linguistics.
Quality Estimation Of Machine Translation Outputs Through Stemming
Machine Translation is the challenging problem for Indian languages.
Shiva++: An Enhanced Graph based Ontology Matcher
Two different ontologies assimilating same knowledge tend to use different terms for the same concepts.
Shiva: A Framework for Graph Based Ontology Matching
Structures which can facilitate open world assumptions and can be flexible enough to incorporate and recognize more than one name for an entity.
Quality Estimation of English-Hindi Outputs using Naive Bayes Classifier
There are various methods for estimating the quality of output sentences, but in this paper we focus on Na\"ive Bayes classifier to build model using features which are extracted from the input sentences.
Automatic Ranking of MT Outputs using Approximations
In this paper, we show an approach which can provide automatic ranks to MT outputs (translations) taken from different MT Engines and which is based on N-gram approximations.
HEVAL: Yet Another Human Evaluation Metric
Machine translation evaluation is a very important activity in machine translation development.
Improving the Quality of MT Output using Novel Name Entity Translation Scheme
This paper presents a novel approach to machine translation by combining the state of art name entity translation scheme.
Subjective and Objective Evaluation of English to Urdu Machine Translation
The work is based on the evaluation of English to Urdu Machine translation.
Development of Marathi Part of Speech Tagger Using Statistical Approach
Part-of-speech (POS) tagging is a process of assigning the words in a text corresponding to a particular part of speech.
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification
This paper considers the problem for estimating the quality of machine translation outputs which are independent of human intervention and are generally addressed using machine learning techniques. There are various measures through which a machine learns translations quality.
Human and Automatic Evaluation of English-Hindi Machine Translation
In this article, we shall present the evaluation of some machine translators.
Part of Speech Tagging of Marathi Text Using Trigram Method
In this paper we show the development of the tagger.
Rule Based Transliteration Scheme for English to Punjabi
Proper transliteration of name entities plays a very significant role in improving the quality of machine translation.
Improving the quality of Gujarati-Hindi Machine Translation through part-of-speech tagging and stemmer-assisted transliteration
Machine Translation for Indian languages is an emerging research area.
Development of a Hindi Lemmatizer
We live in a translingual society, in order to communicate with people from different parts of the world we need to have an expertise in their respective languages.
A Lightweight Stemmer for Gujarati
Gujarati is a resource poor language with almost no language processing tools being available.
