Amanote Research

Amanote Research

    RegisterSign In

A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

Journal of Natural Language Processing
doi 10.5715/jnlp.14.4_67
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2007

Authors
DAISUKE KAWAHARASADAO KUROHASHI
Publisher

Association for Natural Language Processing


Related search

A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

Journal of Natural Language Processing
2014English

A Fully-Lexicalized Probabilistic Model for Japanese Zero Anaphora Resolution

2008English

A Probabilistic Corpus-Based Model of Syntactic Parallelism

Cognition
DevelopmentalEducational PsychologyLanguageCognitive PsychologyCognitive NeuroscienceLinguisticsExperimental
2008English

Lexicon Features for Japanese Syntactic Analysis in Mu-Project-Je

1984English

Neural Network-Based Model for Japanese Predicate Argument Structure Analysis

2016English

Lexicon Features for Japanese Syntactic Analysis in Mu-Project-Je

1984English

An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars

1998English

Japanese Case Structure Analysis by Unsupervised Construction of a Case Frame Dictionary

2000English

Probabilistic Worst-Case Timing Analysis

ACM Computing Surveys
Computer ScienceTheoretical Computer Science
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy