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NLP PhD Thesis Topics focus on the field of Natural Language Processing research ideas, which gains monumental importance as the day goes by. This makes it an interesting area for research with multiple possibilities. Here we present you a brief outline on Natural Language Processing. Natural Language Processing abbreviated as NLP and it can be described as domain in computer science that helps in the automatic processing of natural human language.
- Discourse analysis
- Syntax that concerns phrase, grammar and sentence structure.
- Anaphora deals with relationships among sentences.
- Lexical analysis is about morphology and word segmentation.
- Pragmatics explains how utterances are related to the world.
- Automatic text summarization and sentiment analysis
Major Techniques and Algorithms:
- Native Bayes Classifier
- Machine learning techniques such as nearest neighbour.
- Hidden Markov Model
- Evolutionary Algorithm
- Probabilistic parsing
- Latent sematic analysis technique
- Latent Dirichlet Allocation method
- Probabilistic context free grammar for passing
- Support Vector Machines
- Decision Tree
- Deep Convolutional Neural Networks
Tools of NLP for Development Process:
Tools for Machine Learning:
- AROW++ implements adaptive regulation weight vectors
- SVM high for effective SVM library
- Classis implements different types of classifier algorithm
- MALLET a machine learning package for NLP
- LIBLINEAR helps to implement logistic regression and support vector machines.
- WEKA supports machine learning algorithm
- CRF++ implements standard sequence prediction method and conditional random fields.
- LIBSVM is a full package for learning support vector machines.
- CRF suite implements conditional random fields.
- Wordnet is Data pre-processing tool that performs disambiguation, tokenization and cleaning
- R Tool Data mining tool that used to develop real time data mining applications
Tools that aid in Language Modelling:
- SRILM a n-gram language modelling toolkit
- KENLM is ideal for storage of memory language models.
- KYLM a java based language modelling toolkit
- IRSTML is a toolkit for staring training language models
- RANDLM helps to randomise language models
Tools for Common NLP Libraries:
- NLTK Which is written in python
- Stanford core NLP an NLP tool library
- OpenNLD written in java.
Tools for Pauser Dependency:
- MST Parser that aids with the help of spanning trees
- Malt Parser which is based on shift reduce method
Tools for a Set of Predetermined State Models:
- KYFD that decodes text processing systems with the help of weighed finite state transducer
- OpenEST is a weighted finite state transducer.
Tools for Machine Translation Evaluation:
- RIBES measures the accuracy of word reordering
- METER evaluates synonym regularisation stemming and considering reordering.
- MULTEVAL is a tool to evaluate machine translation.
Tools for Machine Translation Alignment:
- PIALIGN is a phrase aligner
- BERKELEY ALIGNER is an alignment toolkit for alignment models
- GIZA++ a tool for creating word alignment
Tools for Decoding Machine Translation:
- CDEC which implements forest and tree translation
- MOSES is a statistical machine translation decoder.
- TRAVATAR decodes syntax based translation
- JOSHUA implements syntax based translation
Tools for Parsing Phrase Structure:
- EGRET is a PCFG parser
- Stanford parser that can output both CFG Parser and Dependencies
- Berkeley parser is a context free grammar parser
- Chauniak Parser a discriminative CFG Parser
Tools to Analyse Morphology:
- MeCab a tool for morphological analysis with conditional random fields
- KYTEA helps in word segmentation
- SEN is written in java
- JUMAN for morphological analysis
- CHASEN uses HMMS for analysis
Tools that help in Speech Recognition:
- JULIUS an open source decoder
- CMU sphinx
- Juicer is based on WEST
Tools for estimating Pronunciation:
- Mpalignea aligns graphemes to phonemes
- Phonetisaurus converts phoneme to grapheme
- KyTea is a toolkit for word segmentation and pronunciation estimation.
Applications of Natural Language Processing
- Dialogue systems
- Paraphrase recognition
- Email understanding
- Dependency parsing
- Optical character recognition
- Text mining
- Speech recognition
- Summarization and report generation
- Grammar and spelling checking
- Fighting spam
- Lexicographers tools
- Query entity recognition
- Document Clustering and Classification
- Plagiarism detection
- Lexicographers tools
- Natural language interfaces for database
- Augmentative communication
- Machine aided translation
- Scree readers for partially slightly and blind users
- Information extraction.
- Opinion mining and sentiment analysis
- Text mining and Entity Recognition
- Language processing
- Audio, and speech processing
This catalog of ideas on NLP PhD Thesis is prepared and presented with a sole motive of educating the scholars with the basics of NLP. You can approach us for further more guidance. One Project with us will secure your future for lifetime. So don’t hesitate and approach us do get a guaranteed success.
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