Název:	Unsupervised methods for language modeling: technical report no. DCSE/TR-2012-03
Autoři:	Brychcín, Tomáš
Datum vydání:	2012
Nakladatel:	University of West Bohemia in Pilsen
Typ dokumentu:	zpráva report
URI:	http:// www.kiv.zcu.cz/publications/ http://hdl.handle.net/11025/21549
Klíčová slova:	jazykový model;n-gram
Klíčová slova v dalším jazyce:	language model;n-gram
Abstrakt v dalším jazyce:	Language models are crucial for many tasks in NLP and N-grams are the best way to build them. Huge e ort is being invested in improving n-gram language models. By introducing external information (morphology, syntax, partitioning into documents, etc.) into the models a signi cant improvement can be achieved. The models can however be improved with no external information and smoothing is an excellent example of such an improvement. Thesis summarizes the state-of-the-art approaches to unsupervised language modeling with emphases on the in ectional languages, which are particularly hard to model. It is focused on methods that can discover hidden patterns that are already in a training corpora. These patterns can be very useful for enhancing the performance of language modeling, moreover they do not require additional information sources.
Práva:	© University of West Bohemia in Pilsen
Vyskytuje se v kolekcích:	Zprávy / Reports (KIV)

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