| Factored Language Model |
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Information AboutFactored Language Model |
| CATEGORIES ABOUT FACTORED LANGUAGE MODEL | |
| statistical natural language processing | |
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A main advantage of factored language models is they allow users to put in linguistic knowledge such as explicitly model the relationship between word tokens and Part Of Speech in English, or morphological information (stems, root, etc.) in Arabic. Like N-gram models, smoothing techniques are necessary in parameter estimation. In particular, generalized backing-off is used in training an FLM. REFERENCES |
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