Singh et al., 2008 - Google Patents
Manipuri POS tagging using CRF and SVM: A language independent approachSingh et al., 2008
View PDF- Document ID
- 8714747401582224149
- Author
- Singh T
- Ekbal A
- Bandyopadhyay S
- Publication year
- Publication venue
- proceeding of 6th International conference on Natural Language Processing (ICON-2008)
External Links
Snippet
Part of Speech (POS) tagging is an important component for almost all Natural Language Processing (NLP) application areas. Applying machine-learning techniques to the less computerized languages require development of appropriately tagged corpus. In this paper …
- 201000000522 chronic kidney disease 0 title 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
- G06F17/277—Lexical analysis, e.g. tokenisation, collocates
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2765—Recognition
- G06F17/2775—Phrasal analysis, e.g. finite state techniques, chunking
- G06F17/278—Named entity recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2705—Parsing
- G06F17/2715—Statistical methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/274—Grammatical analysis; Style critique
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/2872—Rule based translation
- G06F17/2881—Natural language generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/2809—Data driven translation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
- G06F17/2217—Character encodings
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/28—Processing or translating of natural language
- G06F17/2863—Processing of non-latin text
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2785—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2795—Thesaurus; Synonyms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/20—Handling natural language data
- G06F17/27—Automatic analysis, e.g. parsing
- G06F17/2755—Morphological analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods 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
- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
- G06K9/6842—Dividing 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ekbal et al. | Bengali part of speech tagging using conditional random field | |
Ekbal et al. | A conditional random field approach for named entity recognition in Bengali and Hindi | |
Ekbal et al. | Named entity recognition in Bengali: A multi-engine approach | |
Gupta et al. | A survey of common stemming techniques and existing stemmers for indian languages | |
Ekbal et al. | Part of speech tagging in bengali using support vector machine | |
Na | Conditional random fields for Korean morpheme segmentation and POS tagging | |
Azmi et al. | Real-word errors in Arabic texts: A better algorithm for detection and correction | |
Ekbal et al. | Maximum entropy based Bengali part of speech tagging | |
Singh et al. | Manipuri POS tagging using CRF and SVM: A language independent approach | |
Branco et al. | A suite of shallow processing tools for portuguese: Lx-suite | |
Patil et al. | Issues and challenges in marathi named entity recognition | |
Abate et al. | Development of Amharic morphological analyzer using memory-based learning | |
Sarabi et al. | ParsiPardaz: Persian language processing toolkit | |
Namly et al. | Improving Arabic lemmatization through a lemmas database and a machine-learning technique | |
Singh et al. | Named entity recognition for manipuri using support vector machine | |
Elbarougy et al. | A proposed natural language processing preprocessing procedures for enhancing arabic text summarization | |
Shacham et al. | Morphological disambiguation of Hebrew: A case study in classifier combination | |
Ram et al. | Clause boundary identification using conditional random fields | |
Daya et al. | Identifying semitic roots: Machine learning with linguistic constraints | |
Elsheikh | Timeline of the development of Arabic PoS taggers and Morphological analysers | |
Warnier et al. | Improving requirement boilerplates using sequential pattern mining | |
kumar et al. | AMRITA_CEN@ FIRE-2014: morpheme extraction and lemmatization for tamil using machine learning | |
Padma et al. | Morpheme based parts of speech tagger for Kannada language | |
Anitha et al. | Kannada Morphological Analyser and Generator Using Natural Language Processing and ML Approaches | |
Mirzanezhad et al. | Using morphological analyzer to statistical POS Tagging on Persian Text |