In this paper, we propose a novel method, namely bag-of-words decoding, to evaluate n-gram language models in phrase-based statistical machine translation. As ...
In this paper, we propose a novel method, namely bag-of-words decoding, to evaluate n-gram language models in phrase-based statistical machine translation.
A novel method, namely bag-of-words decoding, is proposed to evaluate n-gram language models in phrase-based statistical machine translation, which has more ...
This article describes in detail an n-gram approach to statistical machine translation. This ap- proach consists of a log-linear combination of a translation ...
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In MT, the widely used approach is to apply word based language model (LM) which considers the ... This is the n-gram model. 2.2 Perplexity. A sentence's ...
In this paper we describe MARIE, an Ngram-based statistical machine translation decoder. It is implemented using a beam search strategy, with distortion (or ...
The idea is to use a phrase-based language model. For that, sequences from the source and the target language models are retrieved and used to calculate a ...
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Thus for evaluating n-gram language models that are a component of some task like speech recognition or machine translation, we can compare the performance of ...
be applied to a phrase pair in isolation (i.e., n-gram language model score of the target side of the phrase pair, the phrase pair translation probabilities ...
ABSTRACT. This paper reports our participation on the text normaliza- tion shared task campaign organized by the CAW 2.0 work- shop. Through a Statistical ...