An Integrated Statisti al Model for Tagging

An improved joint model: POS tagging and dependency parsing

Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...

Bootstrap Goodness - of - Fit Test for the Beta - BinomialModel STEVEN

Model STEVEN T. GARREN1, RICHARD L. SMITH2 &WALTERW. PIEGORSCH3, 1Department of Mathemati s and Statisti s, James Madison University, Harrisonburg, Virginia, USA, 2Department of Statisti s, University of North Carolina, Chapel Hill, USA and 3Department of Statisti s, University of South Carolina, Columbia, USA ABSTRACT A ommon question in the analysis of binary data is how to deal with overdisp...

Part-of-Speech Tagging of Portuguese Based on Variable Length Markov Chains

Abstra t. Tagging is the task of attributing to words in ontext in a text, their orresponding Part-of-Spee h (PoS) lass. In this work, we have employed Variable Length Markov Chains (VLMC) for tagging, in the hope of apturing long distan e dependen ies. We obtained one of the best PoS tagging of Portuguese, with a pre ision of 95.51%. More surprisingly, we did that with a total time of training...

برچسب‌گذاری ادات سخن زبان فارسی با استفاده از مدل شبکۀ فازی

Part of speech tagging (POS tagging) is an ongoing research in natural language processing (NLP) applications. The process of classifying words into their parts of speech and labeling them accordingly is known as part-of-speech tagging, POS-tagging, or simply tagging. Parts of speech are also known as word classes or lexical categories. The purpose of POS tagging is determining the grammatical ...

A Statisti al Model for Parsing and Word-Sense Disambiguation