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ACL
2001
13 years 6 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
AICT
2006
IEEE
100views Communications» more  AICT 2006»
13 years 11 months ago
A Concept Model for Computer-based Spoken Language Tests
Spoken language education plays an important role in modern language courses. Computer-based spoken language test systems provide a convenient, efficient and reliable approach to ...
Yijian Wu, Wenyun Zhao, Xin Peng, Yunjiao Xue
INTERSPEECH
2010
13 years 2 days ago
Topic and style-adapted language modeling for Thai broadcast news ASR
The amount of available Thai broadcast news transcribed text for training a language model is still very limited, comparing to other major languages. Since the construction of a b...
Markpong Jongtaveesataporn, Sadaoki Furui
CSO
2009
IEEE
14 years 1 days ago
Automatic Extraction of Spoken Word in Broadcast Media Language
Compared with the written word, few experts pay more attention to the spoken word because of the difficulty of obtaining spoken corpora. In order to develop and improve the spoken...
Yuqiang Zhang, Yu Zou, Wei He, Min Hou, Yonglin Te...
EMNLP
2009
13 years 3 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...