[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

pal Singh et al., 2018 - Google Patents

Naive Bayes classifier for word sense disambiguation of Punjabi language

pal Singh et al., 2018

View PDF
Document ID
9353274894828045040
Author
pal Singh V
Kumar P
Publication year
Publication venue
Malaysian Journal of Computer Science

External Links

Snippet

Abstract Word Sense Disambiguation (WSD) is the process of identifying the correct sense of the word in the context. The most leading scheme used by WSD is machine learning approach, where a human expert provides examples of correctly disambiguated words, and …
Continue reading at ajba.um.edu.my (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/30675Query execution
    • G06F17/30684Query execution using natural language analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2765Recognition
    • G06F17/277Lexical analysis, e.g. tokenisation, collocates
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/28Processing or translating of natural language
    • G06F17/2809Data driven translation
    • G06F17/2827Example based machine translation; Alignment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2705Parsing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/27Automatic analysis, e.g. parsing
    • G06F17/2785Semantic analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/68Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
    • G06K9/6807Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • G06K9/6842Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass

Similar Documents

Publication Publication Date Title
Bhowmik et al. Bangla text sentiment analysis using supervised machine learning with extended lexicon dictionary
Darwich et al. Corpus-Based Techniques for Sentiment Lexicon Generation: A Review.
Gokul et al. Sentence similarity detection in Malayalam language using cosine similarity
Kolajo et al. A framework for pre-processing of social media feeds based on integrated local knowledge base
Phu et al. Sentiment classification using enhanced contextual valence shifters
Bouhriz et al. Word sense disambiguation approach for Arabic text
Etaiwi et al. Statistical Arabic name entity recognition approaches: A survey
Al-Harbi et al. Lexical disambiguation in natural language questions (nlqs)
Gosai et al. A review on a emotion detection and recognization from text using natural language processing
Seeha et al. ThaiLMCut: Unsupervised pretraining for Thai word segmentation
Abubakar et al. An enhanced feature acquisition for sentiment analysis of english and hausa tweets
pal Singh et al. Naive Bayes classifier for word sense disambiguation of Punjabi language
Dadas et al. Evaluation of sentence representations in polish
Hao et al. SCESS: a WFSA-based automated simplified chinese essay scoring system with incremental latent semantic analysis
Gautam et al. Hindi word sense disambiguation using lesk approach on bigram and trigram words
Mittal et al. Part of speech tagging of Punjabi language using N gram model
Putra et al. Sentence boundary disambiguation for Indonesian language
Shalinda et al. Hate words detection among sri lankan social media text messages
Ningtyas et al. The Influence of Negation Handling on Sentiment Analysis in Bahasa Indonesia
Mahafdah et al. Arabic Part of speech Tagging using k-Nearest Neighbour and Naive Bayes Classifiers Combination.
Bloodgood et al. Using global constraints and reranking to improve cognates detection
Gamage et al. Improving sinhala hate speech detection using deep learning
Jayasuriya et al. Sentiment classification of Sinhala content in social media
Alian et al. Generating sense inventories for ambiguous arabic words.
Sabol et al. New Language Identification and Sentiment Analysis Modules for Social Media Communication