[PDF] Top 20 A Topic Triggered Language Model for Statistical Machine Translation
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A Topic Triggered Language Model for Statistical Machine Translation
... use topic distribution to cluster the training corpora and train LMs ...assign topic probabilities to training sentences rather than segment them into di ff erent topics, so our model is more robust ... See full document
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Multiple stream Language Models for Statistical Machine Translation
... online language models for translating multiple streams which naturally arise on the ...maintaining translation performance on all streams in small ...how translation perfor- mance can equal ... See full document
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Syntax Based Word Ordering Incorporating a Large Scale Language Model
... for statistical machine ...N-gram language model, which has been used by text generation systems to improve ...N-gram model by applying on- line large-margin ... See full document
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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
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Randomised Language Modelling for Statistical Machine Translation
... the model is Boolean (Bool-BF) or provides frequency information (Freq- BF), whether or not sub-sequence filtering was used (FTR) and whether it was used in conjunction with the baseline trigram ... See full document
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Language Model Adaptation for Statistical Machine Translation via Structured Query Models
... contains translation candidates, and thus is more informative than Q T 1 ...query model. 2.2.3 Translation Model as a Query Model To fully leverage the available knowledge from the ... See full document
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Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... constraints in a local context”. In our case, all the linguistic features (factors) associated with each token form a supertag to that token. Singh and Bandyopadhyay (2010) had a similar idea of incorporating linguistic ... See full document
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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
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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
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A Sense Based Translation Model for Statistical Machine Translation
... Topic model for SMT Generic topic models are also explored for ...bilingual topic model and integrate a topic-specific lexicon translation model into ...bilingual ... See full document
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What’s in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation
... each main OOV class per genre or topic. When comparing the two genres, a number of observa- tions emerge. Firstly, rare but correct words (e.g., proper nouns and technical terms, both regular is- sues for ... See full document
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Deep Syntax Language Models and Statistical Machine Translation
... the language model to ensure, that when two phrases are combined with each other, that the model can rank combined phrases that are flu- ent higher than less fluent ...syntax model and ... See full document
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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
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A Context Aware Topic Model for Statistical Machine Translation
... the topic of the document where the example sentence oc- curs is about ...politics topic can be fur- ther used to enable the decoder to select a correc- t translation “issue” for another source word ... See full document
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Bilingual Structured Language Models for Statistical Machine Translation
... structured language models to phrase-based ...our model and evaluated them in rescoring ex- periments, resulting in statistically significant im- provement for ...The model is based on the idea of ... See full document
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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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Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... Machine translation (MT) has achieved huge advances in the past few years (Bahdanau et ...effective model on low resource data or even in an unsuper- vised way is always an interesting and challeng- ... See full document
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On line Language Model Biasing for Statistical Machine Translation
... In this paper, we present a novel technique for weighting a LM corpus at the sentence level based on the source language input. The weighting scheme relies on a measure of cross-lingual similarity evalu- ated by ... See full document
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Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information
... about translation model adaptation focused on parallel data ...in-domain translation dictionary and monolingual corpora to adapt an out-of-domain translation model for the in- domain ... See full document
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Continuous Space Language Models for Statistical Machine Translation
... In this work, a slightly different procedure was used that operates directly on the translation lat- tices. We believe that this is more efficient than reranking n-best lists since it guarantees that al- ways all ... See full document
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