Urdu Word Segmentation using Conditional Random Fields (CRFs).
Haris Bin ZiaAgha Ali RazaAwais AtharPublished in: COLING (2018)
Keyphrases
- word segmentation
- sequence labeling
- handwriting recognition
- named entity recognition
- conditional random fields
- n gram
- information extraction
- dependency parsing
- word recognition
- sentiment analysis
- pos tagging
- structured prediction
- text classification
- natural language processing
- crf model
- named entities
- language modeling
- graphical models
- chinese text
- language independent
- probabilistic model
- maximum entropy
- cross lingual
- hidden markov models
- chinese word segmentation
- semi supervised
- generative model
- language model
- word level
- artificial intelligence
- sparse data
- markov random field
- text mining
- data analysis
- document analysis
- part of speech
- co occurrence
- machine learning
- chinese text retrieval