Titlebook: Computational Linguistics and Intelligent Text Processing; 12th International C Alexander Gelbukh Conference proceedings 2011 Springer Berl

莎草

META

University Development and Administrationnalysed and manually annotated 4,404 e-mails from citizens to the Swedish Social Insurance Agency, and compared two methods for detecting answerable e-mails: manually-created text patterns (rule-based) and machine learning-based methods. We found that the text pattern-based method gave much higher p

ALOFT

赌博

加剧

Phrasal Equivalence Classes for Generalized Corpus-Based Machine Translationthey appear. Templates are then constructed by replacing these clustered phrase-pairs by their class labels. We also perform a filtration step by simulating human labelers to obtain only those phrase-pairs that have high correspondences between the source and the target phrases that make up the phra

象形文字

Word Segmentation for Dialect Translationerman, Russian) revealed that the proposed system outperforms SMT engines trained on character-based as well as standard dialect segmentation schemes for the majority of the investigated translation tasks and automatic evaluation metrics.

消灭

humectant

符合规定

大气层