NLP PhD Thesis Topics

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NLP Thesis

NLP PhD Thesis Topics focus on the field of Natural Language Processing research ideas, which gains monumental importance as the day goes by. Natural Language Processing is abbreviated as NLP and can be described as the domain in computer science that helps in the automatic processing of natural human language. This makes it an interesting area also for research with multiple possibilities. Here we also present you a brief outline of Natural Language Processing

NLP Qualities

Discourse analysis
Syntax that concerns phrase, grammar and also sentence structure.
Anaphora deals also with relationships among sentences.
Lexical analysis is about morphology and also word segmentation.
Pragmatics explains how utterances are also related to the world.
Automatic text summarization and also 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 also in analysis technique
Latent Dirichlet Allocation method
Probabilistic context free grammar also 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 also support vector machines.
WEKA supports machine learning algorithm
CRF++ implements standard sequence prediction method and also conditional random fields.
LIBSVM is a full package also for learning support vector machines.
CRF suite implements conditional random fields.
Wordnet is Data pre-processing tool also that performs disambiguation, tokenization and cleaning
R Tool Data mining tool that also used to develop real time data mining applications

Tools that aid in Language Modelling:

SRILM a n-gram language modelling toolkit
KENLM is ideal also for storage of memory language models.
KYLM a java based language modelling toolkit
IRSTML is a toolkit also 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 also with the help of spanning trees
Malt Parser which is also based on shift reduce method

Tools for a Set of Predetermined State Models:

KYFD that decodes text processing systems also 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 also considering reordering.
MULTEVAL is also a tool to evaluate machine translation.

Tools for Machine Translation Alignment:

PIALIGN is a phrase aligner
BERKELEY ALIGNER is an alignment toolkit also for alignment models
GIZA++ a tool also for creating word alignment

Tools for Decoding Machine Translation:

CDEC which implements forest and also tree translation
MOSES is a statistical machine translation decoder.
TRAVATAR decodes syntax also based translation
JOSHUA implements syntax also based translation

Tools for Parsing Phrase Structure:

EGRET is a PCFG parser
Stanford parser that can also 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 also with conditional random fields
KYTEA helps in word segmentation
SEN is written in java
JUMAN also for morphological analysis
CHASEN uses HMMS also for analysis

Tools that help in Speech Recognition:

JULIUS an open source decoder
CMU sphinx
Juicer is also based on WEST

Tools for estimating Pronunciation:

Mpalignea aligns graphemes to phonemes
Phonetisaurus converts phoneme to grapheme
KyTea is a toolkit also 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 also report generation
Grammar and also spelling checking
Fighting spam
Lexicographers tools
Query entity recognition
Document Clustering and also Classification
Plagiarism detection
Lexicographers tools
Natural language interfaces also for database
Augmentative communication
Machine aided translation
Scree readers also for partially slightly and blind users
Information extraction.
Opinion mining and also sentiment analysis
Text mining and also Entity Recognition
Language processing
Audio, and also speech processing

This catalog of ideas on the NLP PhD Thesis is prepared and presented to educate the scholars on the basics of NLP. You can approach us also for further more guidance. One Project with us will secure your future for a lifetime. So don’t hesitate and also approach us to get guaranteed success.