Sciweavers

501 search results - page 20 / 101
» Improving Language Models by Clustering Training Sentences
Sort
View
COLING
2010
13 years 2 months ago
Unsupervised cleansing of noisy text
In this paper we look at the problem of cleansing noisy text using a statistical machine translation model. Noisy text is produced in informal communications such as Short Message...
Danish Contractor, Tanveer A. Faruquie, L. Venkata...
AAAI
2007
13 years 10 months ago
Learning Language Semantics from Ambiguous Supervision
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Rohit J. Kate, Raymond J. Mooney
TASLP
2008
98views more  TASLP 2008»
13 years 7 months ago
An Integrative and Discriminative Technique for Spoken Utterance Classification
Abstract-- Traditional methods of spoken utterance classification (SUC) adopt two independently trained phases. In the first phase, an automatic speech recognition (ASR) module ret...
Sibel Yaman, Li Deng, Dong Yu, Ye-Yi Wang, Alex Ac...
CICLING
2010
Springer
13 years 10 months ago
Systematic Processing of Long Sentences in Rule Based Portuguese-Chinese Machine Translation
The translation quality and parsing efficiency are often disappointed when Rule based Machine Translation systems deal with long sentences. Due to the complicated syntactic structu...
Francisco Oliveira, Fai Wong, Iok-Sai Hong
ACL
2007
13 years 9 months ago
A discriminative language model with pseudo-negative samples
In this paper, we propose a novel discriminative language model, which can be applied quite generally. Compared to the well known N-gram language models, discriminative language m...
Daisuke Okanohara, Jun-ichi Tsujii