[PDF] Top 20 On line Language Model Biasing for Statistical Machine Translation
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On line Language Model Biasing for Statistical Machine Translation
... The language model (LM) is a critical com- ponent in most statistical machine translation (SMT) systems, serving to establish a proba- bility distribution over the hypothesis ...for ... See full document
5
Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation
... In this paper, different from (Li et al., 2010), we focus on the adaptation of LM weight only, as LM is one of the key components of SMT and has its own characteristic. In our work, we adopt cross-entropy as a metric, ... See full document
11
Multiple stream Language Models for Statistical Machine Translation
... Recent work has shown good results using an in- coming text stream as training data for either a static or online language model (LM) in an SMT setting (Goyal et al., 2009; Levenberg and Osborne, 2009). A ... See full document
10
From Extractive to Abstractive Summarization: A Journey
... to model the text summarization prob- lem as a Statistical Machine Translation (SMT) problem of translating text written in a Docu- ment Language to that in a Summary ... See full document
7
A Sense Based Translation Model for Statistical Machine Translation
... Topic model for SMT Generic topic models are also explored for ...topic model and integrate a topic-specific lexicon translation model into ...topic model for translation and ... See full document
11
Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation
... Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertol- di, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexan- dra Constantin, and Evan ... See full document
7
Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... unsupervised language model adaptation techniques for Statistical Machine ...the machine translation output are converted into queries at different levels of representation power ... See full document
7
Deep Syntax Language Models and Statistical Machine Translation
... string-based language model provides as good if not better context than the deep syntax model, but only for the few words that happen to be preceded by words that are important to its lexical choice, ... See full document
9
Large and Diverse Language Models for Statistical Machine Translation
... Often more data is better data, and so it should come as no surprise that recently statistical machine trans- lation (SMT) systems have been improved by the use of large language models (LM). ... See full document
6
A Localized Prediction Model for Statistical Machine Translation
... The focus of this paper is to investigate issues in dis- criminative training of decoder parameters. Instead of di- rectly minimizing error as in earlier work (Och, 2003), we decompose the decoding process into a ... See full document
8
A Hybrid Chinese Spelling Correction Using Language Model and Statistical Machine Translation with Reranking
... substituting each character in the input sentence with the characters in the corresponding confu- sion set, they use a language model to generate a plausibility score to evaluate each possible sub- stituted ... See full document
5
Bilingual Structured Language Models for Statistical Machine Translation
... syntactic language model, structured LM (SLM) (Chelba and Jelinek, 2000), that we extend to a bilingual setting and apply to SMT in Sec- tion ...syntactic language models define sentence generation ... See full document
11
Syntax Based Word Ordering Incorporating a Large Scale Language Model
... -gram language model into the syntax-based generation system is weakly analogous to N -gram model insertion for syntax-based statistical machine translation sys- tems, both of ... See full document
11
Continuous Space Language Models for Statistical Machine Translation
... get language. In most SMT systems the use of a 4-gram back-off language model usually achieves improvements in the BLEU score in comparison to the 3-gram LM used during ... See full document
8
Statistical Machine Translation with Local Language Models
... local language modeling approach with a decoder is ...word language model ...many language models, local language models can be added using the same func- tionalities of SRILM’s ... See full document
11
Randomised Language Modelling for Statistical Machine Translation
... Our first set of experiments examines the relation- ship between memory allocated to the BF and BLEU score. We present results using the Boolean BF- LM in isolation and then both the Boolean and log- frequency BF-LMS to ... See full document
8
ParFDA for Fast Deployment of Accurate Statistical Machine Translation Systems, Benchmarks, and Statistics
... Statistical machine translation performance is in- fluenced by the data: if you already have the translations for the source being translated in your training set or even portions of it, then the ... See full document
5
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... cross-lingual language model pre- training can learn a better cross-lingual embed- dings to initialize an unsupervised machine trans- lation ... See full document
8
Language and Translation Model Adaptation using Comparable Corpora
... Traditionally, statistical machine translation systems have relied on parallel bi-lingual data to train a translation ...a language model in the target ...a statistical ... See full document
10
Word reordering for Statistical Machine Translation Using Trigram Language Model
... cal machine translation, but independently from the target language generating pro- ...this model, a permuted sentence is given and the goal is to recover the correct ...the statistical ... See full document
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