DSIRNLP06 Nested Pitman-Yor Language Model[DL輪読会] Spectral Norm Regularization for Improving the Generalizability of De...Deep Learning JP
Kylm - The Kyoto Language Modeling Toolkit
日本語 This is the Kyoto Language Modeling toolkit (Kylm), a language modeling toolkit written in Java. It contains features including: Tools for comparing the effectiveness of various types of language models. Ability to model unknown words using sub-word units (characters). Support for a number of different smoothing methods. Output in WFST format for use with WFST decoders (such as Kyfd). Download
GitHub - mitlm/mitlm: MIT Language Modeling Toolkit
============================= MIT Language Modeling Toolkit ============================= The MIT Language Modeling (MITLM) toolkit is a set of tools designed for the efficient estimation of statistical n-gram language models involving iterative parameter estimation. It achieves much of its efficiency through the use of a compact vector representation of n-grams. Details of the data structure and
lwlm, The Latent Words Language Model.
Daichi Mochihashi NTT Communication Science Laboratories $Id: lwlm.html,v 1.1 2010/03/19 10:15:06 daichi Exp $ lwlm is an exact, full Bayesian implementation of the Latent Words Language Model (Deschacht and Moens, 2009). It automatically learns synonymous words to infer context-dependent "latent word" for each word appearance, in a completely unsupervised fashion. Technically, LWLM is a higher-or
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