搜索结果: 1-13 共查到“应用语言学 Feature”相关记录13条 . 查询时间(0.096 秒)
All Mixed Up Finding the Optimal Feature Set for General Readability Prediction and Its Application to English and Dutch
Traditional readability forecast text type
2016/10/31
Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre. Moreover, although NLP-in...
Multiple Adjunction in Feature-Based Tree-Adjoining Grammar
Multiple Adjunction Tree-Adjoining Grammar
2015/9/15
In parsing with Tree Adjoining Grammar (TAG), independent derivations have been shown by Schabes and Shieber (1994) to be essential for correctly supporting syntactic analysis, semantic interpretation...
Feature-Frequency–Adaptive On-line Training for Fast and Accurate Natural Language Processing
Fast Accurate NaturalLanguage Processing
2015/9/14
Training speed and accuracy are two major concerns of large-scale natural language processing systems. Typically, we need to make a tradeoff between speed and accuracy. It is trivial to improve the tr...
Probabilistic modeling of lexicalized grammars is difficult because these grammars exploit complicated data structures, such as typed feature structures. This prevents us from applying common methods ...
Feature structures are used to convey linguistic information in a variety of linguistic formalisms.
Various definitions of feature structures exist; one dimension of variation is typing: unlike...
Using Feature Conjunctions across Examples for Learning Pairwise Classifiers
Feature Conjunctions Learning Pairwise Classifiers
2015/6/12
We propose a kernel method for using combinations of features across example pairs in learning pairwise classifiers. Identifying two instances in the same class is an important technique in duplicate ...
Graph-based Re-ranking using Acoustic Feature Similarity between Search Results for Spoken Term Detection on Low-resource Languages
Random Walk Spoken Term Detection
2014/11/27
Acoustic feature similarity between search results has been shown to be very helpful for the task of spoken term detection (STD).A graph-based re-ranking approach for STD has been proposed based on th...
Multistrea m Articulat ory Feature-B ased Models for Visual Speech Recog nition
Visual speech recognition articulatory features dynamic Bayesian networks support vector machines
2014/11/27
We study the problem of automatic visual speech recognition (VSR) using dynamic Bayesian network (DBN)-based models consisting of multiple sequences of hidden states, each corresponding to an articula...
Combining missing-feature theory, speech enhancement, and speaker-dependent /-independent modeling for speech separation
Speech enhancement Speaker modeling Speech recognition Missing-feature theory Posterior union model
2014/11/27
This paper considers the separation and recognition of overlapped speech sentences assuming single-channel observation. A system based on a combination of several different techniques is proposed. The...
Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks
Hidden Feature Models Speech Recognition Dynamic Bayesian Networks
2014/11/27
In this paper, we investigate the use of dynamic Bayesian networks (DBNs) to explicitly represent models of hidden features,such as articulatory or other phonological features, for automatic speech re...
Categorial Grammar based on Feature Structures
feature structure categorial equation semantic lifting
2009/2/18
In this article, we proposed Categorial
Grammar based on feature structure and semantic
lifting for mutiple-level syntactic-semantic analysis.
A sentence, in fact, is a syntacticlly and semanticlly...
An Information-Theory-Based Feature Type Analysis for the Modelling of Statistical Parsing
Information-Theory-Based Feature Type Statistical Parsing
2009/2/13
The paper proposes an information-theory-based method for feature types analysis in probabilistic evaluation modelling for statistical parsing. The basic idea is that we use entropy and conditional en...
A Study on Feature Weighting in Chinese Text Categorization（图）
Feature Weighting Chinese Text Categorization
2015/1/26
In Text Categorization (TC) based on Vector Space Model, feature weighting and feature selection are major problems and difficulties. This paper proposes two methods of weighting features by combining...