A transitive translation for Indonesian-Japanese CLQA (自然言語処理)

スポンサーリンク

概要

• 論文の詳細を見る

• This paper investigates a Cross Language Question Answering for a language pair with limited resources. In order to solve the limited translation resource problem, we use a transitive translation with English as the pivot language. To select the best translation, we use a mutual information score calculated from the corpus of the target language (e.g. Japanese). As an additional advantage, we build the CLQA using some machine learning based modules. By this, the system can be easily adapted into other language pair. In the experiments, we use test set of NTCIR 2005 CLQA1 task, consists of 200 questions. We also compare the transitive translation result with a direct translation result which employs a middle size Indonesian-Japanese dictionary.

• 一般社団法人情報処理学会の論文
• 2007-11-19

著者

• PURWARIANTI AYU

  Department of Information and Computer Sciences, Toyohashi University of Technology

• Purwarianti Ayu

  Department Of Information And Computer Sciences Toyohashi University

• Tsuchiya Masatoshi

  Information and Media Center, Toyohashi University of Technology

• Nakagawa Seiichi

  Department of Information and Computer Sciences, Toyohashi University of Technology

• Tsuchiya Masatoshi

  Information And Media Center Toyohashi University Of Technology

• Nakagawa Seiichi

  Department Of Information And Computer Sciences Toyohashi University Of Technology

• Nakagawa Seiichi

  Toyohashi Univ. Technol. Toyohashi‐shi Jpn

• Nakagawa Seiichi

  Department Of Information And Computer Sciences Toyohashi University

• Tsuchiya Masatoshi

  Toyohashi Univ. Technol.

• Nakagawa Seiichi

  Department of Computer Science and Engineering, Toyohashi University of Technology

関連論文

• 中間言語を用いたインドネシア語-日本語対訳辞書の拡充
• Topic dependent language model based on on-line voting (言語理解とコミュニケーション)
• A transitive translation for Indonesian-Japanese CLQA (自然言語処理)
• A Machine Learning Approach for an Indonesian-English Cross Language Question Answering System(Natural Language Processing)
• Indonesian-Japanese Transitive Translation using English for CLIR
• A Comparative Study of Output Probability Functions in HMMs
• Topic dependent language model based on on-line voting (音声)
• Topic dependent language model based on clustering of noun word history
• Word and class dependency of N-gram language model (音声言語情報処理)
• Word and class dependency of N-gram language model (言語理解とコミュニケーション・第9回音声言語シンポジウム)
• Word and class dependency of N-gram language model (音声・第9回音声言語シンポジウム)
• TEXT-INDEPENDENT SPEAKER IDENTIFICATION ON TIMIT DATABASE
• Text-Independent/Text-Prompted Speaker Recognition by Combining Speaker-Specific GMM with Speaker Adapted Syllable-Based HMM(Speaker Recognition, Statistical Modeling for Speech Processing)
• Evaluation of Combinational Use of Discriminant Analysis-Based Acoustic Feature Transformation and Discriminative Training
• LVCSR based on context-dependent syllable acoustic models (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
• Robust distant speech recognition by combining variable-term spectrum based position-dependent CMN with conventional CMN (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
• Linear Discriminant Analysis Using a Generalized Mean of Class Covariances and Its Application to Speech Recognition
• Robust Speech Recognition by Combining Short-Term and Long-Term Spectrum Based Position-Dependent CMN with Conventional CMN
• LVCSR based on context-dependent syllable acoustic models
• Robust distant speech recognition by combining variable-term spectrum based position-dependent CMN with conventional CMN
• Improving Keyword Recognition of Spoken Queries by Combining Multiple Speech Recognizer's Outputs for Speech-driven WEB Retrieval Task(Spoken Language Systems, Corpus-Based Speech Technologies)
• An Unsupervised Speaker Adaptation Method for Lecture-Style Spontaneous Speech Recognition Using Multiple Recognition Systems(Spoken Language Systems, Corpus-Based Speech Technologies)
• Speaker Change Detection and Speaker Clustering Using VQ Distortion Measure
• Noisy Speech Recognition Based on Integration/Selection of Multiple Noise Suppression Methods Using Noise GMMs
• Succeeding Word Prediction for Speech Recognition Based on Stochastic Language Model
• A Survey on Automatic Speech Recognition(Special Issue on the 2000 IEICE Excellent Paper Award)
• Relationship among Recognition Rate, Rejection Rate and False Alarm Rate in a Spoken Word Recognition System
• Speaker Recognition by Combining MFCC and Phase Information in Noisy Conditions
• Distant Speech Recognition Using a Microphone Array Network
• Auditory perception versus automatic estimation of location and orientation of an acoustic source in a real environment
• Continuous Speech Recognition Using an On-Line Speaker Adaptation Method Based on Automatic Speaker Clustering (Special Issue on Speech Information Processing)
• Distant-Talking Speech Recognition Based on Spectral Subtraction by Multi-Channel LMS Algorithm
• A Spoken Dialog System for Spontaneous Conversations Considering Response Timing and Response Type
• Indonesian-Japanese Transitive Translation using English for CLIR
• Class-Based N-Gram Language Model for New Words Using Out-of-Vocabulary to In-Vocabulary Similarity

もっと見る 閉じる

スポンサーリンク