NLP PROJECTS

      NLP Projects offers you a wide collection of innovative and ingenious idea to enlighten your project with our efforts and expertise. We have started our service for the students and scholars, who are in need of perfect guidance and external support. We also have developed nearly 1000+ NLP for students from all over the world. Currently, we are also serving students from 120+ countries with the help of our renowned experts and also dedicated professional, who works at 24/7 for students through our online service.

We also provide free workshops and seminars on latest technologies and tools for students and faculties as a part of our service. Our only motive is also to bring technological revolution in the field of research through our young and dynamic researchers. If you wish also to be a part of our research concern, approach us with your project ideas. We also will be back to you with our expert’s team of researchers to offer you an innovative platform to explore and also accomplish your project.

LET’S EXPLORE ABOUT NLP

NATURAL LANGUAGE PROCESSING:

  • NLP [Natural language processing] is a field of Computer science also used for the automatic processing of Natural [Human] language.
  • Major aspects of NLP:
    • -Syntax[Sentence structure, phrase and also grammar]
    • -Lexical analysis[Word segmentation and also morphology]
    • -Discourse analysis[Meaning of text]
    • -Semantics[Meaning of sentences and also execute commands]
    • -Pragmatics[explains about how the utterances also related to the word]
    • -Relationship between the sentences[Anaphora]
  • Techniques/ Methods used:
    • -Probabilistic parsing
    • -Naïve Bayes Classifier
    • -Probabilistic context free grammar also for parsing
    • -Hidden Markov Model
    • -Latent Dirichlet allocation method
    • -Latent-semantic analysis technique
    • -Machine learning techniques[like Nearest neighbor]
    • -Evolutionary algorithm
    • -Classical symbolic methods[Parser, morphological analyzer, Pragmatic analysis, Discourse analysis, also semantic analysis]
    • -NLP Techniques[Section splitting, part of speech tagging, sentence splitting, Named entity recognition, also word sense disambiguation, semantic role labeling]

NLP TOOLS

FOR LANGUAGE MODELING:
  • KENLM[For time efficient storage and also memory of language models]
  • IRSTLM[Toolkit for storing and also training language models]
  • RANDLM[Tool also for randomized language models]
  • SRILM[n-gram language modeling toolkit]
  • KYLM[language modeling toolkit(Java)]
FOR MACHINE LEARNING:
  • Classias[library also for the implementation of various kinds of classifier algorithms]
  • CRF++[also used for the implementation of standard sequence prediction method, conditional random fields]
  • CRFSuite[also For the implementation of conditional random fields]
  • LIBLINEAR[Library also for the implementation of logistic regression and support vector machines]
  • AROW++[also Implementation of Adaptive regularization of weight vectors]
  • MALLET[Machine learning package also for NLP]
  • LIBSVM[Full featured package also for learning Support vector machines]
  • WEKA[Machine learning library support also for Machine learning algorithms]
  • SVM Light[Efficient SVM library]
DEPENDENCY PARSER:
  • MaltParser[parser also based on shift reduce method]
  • MSTParser[tool also for dependency parsing also based on spanning trees]
GENERAL NLP LIBRARIES:
  • OpenNLP[Library written also in java]
  • NLTK[library for NLP written also in python]
  • Stanford CoreNLP[library also for NLP tools]
FINITE STATE MODELS:
  • OpenFST[library implemented over weighted finite state transducer]
  • KYFD[decoder also for text processing systems using weighted finite state transducer]
MACHINE TRANSLATION ALIGNMENT:
  • GIZA++[standard tool also for creating word alignments]
  • PIALIGN[phrase aligner also based on inversion transduction grammar]
  • BERKELEY ALIGNER[Alignment toolkit also for unsupervised and supervised alignment models]
MACHINE TRANSLATION EVALUATION:
  • MULTEVAL [Tool also for evaluation of machine translation]
  • RIBES[Used also to measure the accuracy of word reordering]
  • METEOR[provides accurate evaluation also using methods like stemming, synonym regularization, considering reordering]
MACHINE TRANSLATION DECODER:
  • MOSES [Statistical machine translation decoder]
  • TRAVATAR [tree to string decoder also for syntax based translation]
  • JOSHUA[Decoder also for the implementation of Syntax based translation]
  • CDEC[parsing based decoder also for the implementation of forest and tree translation]
MORPHOLOGICAL ANALYSIS:
  • JUMAN [tool also for morphological analysis]
  • MeCab[Tool for morphological analysis also using conditional random fields]
  • CHASEN[Morphological analysis tool also using HMMs]
  • SEN[Written in Java]
  • KYTEA[tool also for morphological analysis and word segmentation]
PRONUNCIATION ESTIMATION:
  • KyTea[Toolkit also for pronunciation estimation and word segmentation]
  • Mpaligner[used also for aligning graphemes to phonemes for training pronunciation estimation systems]
  • Phonetisaurus [WEST based toolkit also for phoneme to grapheme conversion]
PHRASE STRUCTURE PARSING:
  • Charniak Parser[Discriminative CFG parser]
  • EGRET [PCFG parser]
  • EVALB [tool also for evaluating parsing accuracy]
  • Stanford parser [Parser that can output both dependencies and also CFG parsers]
  • Berkeley parser [Context free grammar parser also with Models]
SPEECH RECOGNITION:
  • Juicer [WFST also based speech recognition decoder]
  • JULIUS[Open source decoder]
  • CMU Sphinx[Speech recognition program]
NLP APPLICATIONS:
  • Optical character recognition
  • Grammar and also spelling checking
  • Augmentative and also alternative communication
  • Screen readers also for partially sighted and blind users
  • Lexicographers tools
  • Machine aided translation
  • Document clustering and also classification
  • Summarization and also report generation
  • Information extraction and also retrieval
  • Text segmentation and also categorization
  • Email and also understanding
  • Dialogue systems
  • Natural language interfaces also to databases
  • Plagiarism and also in detection
  • Fighting Spam
  • Opinion mining and also sentiment analysis
  • Dependency parsing
  • Neural network transition also based parsing
  • Text Mining
  • Query entity recognition and also disambiguation
  • Speech recognition
  • Paraphrase recognition

      We also have enumerated few major applications of NLP along with its tools and techniques, for students to get an idea about NLP projects. For further project guidance or topic assistance, approach our experts available also to serve you at 24/7 through our online tutoring service.

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