[PDF] Top 20 Language Model Adaptation for Statistical Machine Translation via Structured Query Models
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Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... Language models (LM) are applied in many natural language processing applications, such as speech recognition and machine translation, to encapsulate syntactic, semantic and pragmatic ... See full document
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Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information
... to adaptation emphases, domain adap- tation in SMT can be classified into translation mod- el adaptation and language model ...a translation model, which is trained from ... See full document
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A Topic Triggered Language Model for Statistical Machine Translation
... into language models in several ...topic model for cross-lingual language model adaptation ...topic model to project latent topic distribution across ...gram ... See full document
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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
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Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
... in language modelling, where p(x|y) is the probability of a word given a n-gram his- tory, conditional probabilities in translation mod- els express the probability of a target phrase given a source phrase ... See full document
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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
Deep Syntax Language Models and Statistical Machine Translation
... Hierarchical Models increase the re- ordering capabilities of MT systems by introducing non-terminal symbols to phrases that map source language (SL) words/phrases to the correct position in the target ... See full document
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Multiple stream Language Models for Statistical Machine Translation
... An unbounded text stream is an input source of natu- ral language documents that is received sequentially and so has an implicit timeline attached. In Leven- berg and Osborne (2009) a text stream was used to ... See full document
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Converting Continuous Space Language Models into N Gram Language Models for Statistical Machine Translation
... Language models are important in natural language processing tasks such as speech recognition and statistical machine ...n-gram language models (BNLMs) (Chen and Goodman, ... See full document
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Unsupervised Adaptation for Statistical Machine Translation
... LM adaptation for ...TM adaptation. (Hildebrand et al., 2005) perform LM and TM adaptation based on infor- mation retrieval ...source- language test corpus to filter the bilingual data, and ... See full document
9
Locally Non Linear Learning for Statistical Machine Translation via Discretization and Structured Regularization
... Linear models, which support efficient learn- ing and inference, are the workhorses of statis- tical machine translation; however, linear de- cision rules are less attractive from a modeling ... See full document
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Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation
... In statistical machine translation (SMT) reorder- ing (also called distortion) refers to the order in which source words are translated to generate the translation in the target ...English ... See full document
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A Structured Prediction Approach for Statistical Machine Translation
... Statistical Machine Translation (SMT) is attract- ing more attentions than rule-based and example- based methods because of the availability of large training corpora and automatic ...rich ... See full document
6
Query Rewriting Using Monolingual Statistical Machine Translation
... Natural Language Processing ...source language of user queries into a target language of Web ...of query expansion by query ...similar statistical properties to the original ... See full document
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On line Language Model Biasing for Statistical Machine Translation
... Some previous work exists in LM adaptation for SMT. Snover et al. (2008) used a cross-lingual infor- mation retrieval (CLIR) system to select a subset of target documents “comparable” to the source docu- ment; ... See full document
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Language Model Weight Adaptation Based on Cross-entropy for Statistical Machine Translation
... natural language processing (NLP) applications, including automatic speech recognition (ASR) and ...of language model learned from given dataset changes drastically among different ...Many ... See full document
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Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... natural language is con- sistency which is also often ignored in statistical ...For machine translation this means that adapting to the local domain and sticking to consistent ... See full document
8
Adaptation of Reordering Models for Statistical Machine Translation
... domain adaptation (DA) for statistical machine translation (SMT) has mainly focused on the translation model (TM) and the language model ...reordering model ... See full document
9
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... German-Czech language pair are built based on the previously proposed unsupervised MT sys- tems, with some adaptations made to accom- modate the morphologically rich characteristics of German and Czech (Tsarfaty ... 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
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