Durga Prasad Manukonda's repositories
CliNER
Clinical Named Entity Recognition system (CliNER) is an open-source natural language processing system for named entity recognition in clinical text of electronic health records.
spacy-lookup
Named Entity Recognition based on dictionaries
Word-Prediction-for-text-entry-in-Dravidian-Languages
It is a Data Science project. The goal of the Data Science project is to use NLP theory, to develop an application that predicts the next word.
decaNLP
The Natural Language Decathlon: A Multitask Challenge for NLP
acl2018-semantic-parsing-tutorial
Materials from the ACL 2018 tutorial on neural semantic parsing
AI-Blocks
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
DeepSpeech
A PaddlePaddle implementation of DeepSpeech2 architecture for ASR.
DeepQA
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
code_search
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Plural-Formation-of-Telugu-Nouns-Using-Morphology-
Here I am present the development of a tool, called Plural formation of Telugu Nouns using Morphology,that can generate plural forms of nouns of Telugu. It has been developed based on the previously established linguistic analyses of Telugu by C.P. Brown and H. Krishnamurthy. The tool is developed in Prolog.
adam_qas
ADAM - A Question Answering System. Inspired from IBM Watson
NAMAS
Neural Attention Model for Abstractive Summarization
UD_Telugu-MTG
Telugu data.
pyAudioAnalysis
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
afinn
AFINN sentiment analysis in Python
kaldi
This is now the official location of the Kaldi project.
MixedEmotions
Documentation for the MixedEmotions Toolbox
Aspect-level-sentiment-classification-
Aspect level sentiment classification is a fundamental task in the field of sentiment analysis. People write reviews for products and services. Both products and services have different aspects on which people give their opinions. Here people talked about two aspects of restaurant domain, food and staff. Given a sentence and an aspect occurring in the sentence, this task aims given a set of sentences, classify each word in each sentence into Aspect (ASP-Positive) and Non - Aspect(NASP-Negative) and second is to cluster the list of aspects into ‘n’ clusters.
Telugu-Morphological-Analyzer-Verbs
It is the implementation of Telugu verb forms. In Telugu, verbs can be identified in two types: one based on termination of Tense+PNG(person-number-gender) and another one based on the termination of their suffixes roots. It is very useful for learning Telugu grammar. It generates all the forms of Telugu verbs with gender and without gender based on given verbs or extracted verbs from Telugu text.
speech_recognition
Speech recognition module for Python, supporting several engines and APIs, online and offline.
SCN_for_video_captioning
Using Semantic Compositional Networks for Video Captioning
NRHM-Data-Associative-challenge-
What analyses should be undertaken by SocialCops to help the Government of Maharashtra's Health Department to identify the root causes of the extreme Health trends in Nagpur District?
Automatic_Speech_Recognition
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Knowledge-Graph-Analysis-Programming-Exercises
Exercises for the Analysis of Knowledge Graphs
Emotion
:smile: Recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning.
awesome-sentiment-analysis
Repository with all what is necessary for sentiment analysis and related areas
tfClassifier
Tensorflow based training and classification scripts for text, images, etc
spaCy
💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython