EMNLP
2008
14 years 29 days ago
2008
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...
EMNLP
2008
14 years 29 days ago
2008
This paper describes a novel Bayesian approach to unsupervised topic segmentation. Unsupervised systems for this task are driven by lexical cohesion: the tendency of wellformed se...
EMNLP
2008
14 years 29 days ago
2008
Although Machine Translation (MT) is a very active research field which is receiving an increasing amount of attention from the research community, the results that current MT sys...
EMNLP
2008
14 years 29 days ago
2008
We present a study on how grammar binarization empirically affects the efficiency of the CKY parsing. We argue that binarizations affect parsing efficiency primarily by affecting ...
EMNLP
2008
14 years 29 days ago
2008
Predicting possible code-switching points can help develop more accurate methods for automatically processing mixed-language text, such as multilingual language models for speech ...
EMNLP
2008
14 years 29 days ago
2008
This paper proposes a novel maximum entropy based rule selection (MERS) model for syntax-based statistical machine translation (SMT). The MERS model combines local contextual info...
EMNLP
2008
14 years 29 days ago
2008
We show that jointly parsing a bitext can substantially improve parse quality on both sides. In a maximum entropy bitext parsing model, we define a distribution over source trees,...
EMNLP
2008
14 years 29 days ago
2008
We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each i...
EMNLP
2008
14 years 29 days ago
2008
Human linguistic annotation is crucial for many natural language processing tasks but can be expensive and time-consuming. We explore the use of Amazon's Mechanical Turk syst...
EMNLP
2008
14 years 29 days ago
2008
We investigate the combination of several sources of information for the purpose of subjectivity recognition and polarity classification in meetings. We focus on features from two...