Standardization of Mexican trigrams

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Improving Sequence Segmentation Learning by Predicting Trigrams

Symbolic machine-learning classifiers are known to suffer from near-sightedness when performing sequence segmentation (chunking) tasks in natural language processing: without special architectural additions they are oblivious of the decisions they made earlier when making new ones. We introduce a new pointwise-prediction single-classifier method that predicts trigrams of class labels on the bas...

متن کامل

Constrained Text Clustering Using Word Trigrams

In recent years there has emerged the field of Constrained Clustering, which proposes clustering algorithms which are able to accommodate domain information to obtain a better final grouping. This information is usually provided as pairwise constraints, whose acquisition from humans can be costly. In this paper we propose a novel method based on word n-grams to automatically extract positive co...

متن کامل

A language model combining trigrams and stochastic context-free grammars

We propose a class trigram language model in which each class is specified by a stochastic context-free grammar. We show how to estimate the parameters of the model, and how to smooth these estimates. We present experimental perplexity and speech recognition results.

متن کامل

Beyond Tag Trigrams: New Local Features for Tagging

finch,[email protected] [email protected] Abstract The set of features used by any predictive model is of pivotal importance to its performance. In this paper we show the utility and quantify the effect of adding features consisting of arrangements of words and tags (selected by an expert grammarian) in the local context of a trigram tagger. We look in detail at the effect, on tagging w...

متن کامل

A Language Model Combining Trigrams and Context-Free Grammars

We present a class trigram language model in which each class is specified by a probabilistic context-free grammar. We show how to estimate the parameters of the model, and how to smooth these estimates. Experimental perplexity and speech recognition results are presented.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Psychonomic Science

سال: 1968

ISSN: 0033-3131

DOI: 10.3758/bf03328233