[PDF] Top 20 Latent Domain Phrase based Models for Adaptation
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Latent Domain Phrase based Models for Adaptation
... the latent domain language models or the latent domain translation models? Further experiments have been carried on to neutralize each component type in turn and build a ... See full document
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Latent Domain Translation Models in Mix of Domains Haystack
... than domain adaptation, which aims at adapting an existing out-domain system by focusing on, ...model adaptation (Eidelman et ...to phrase pair weighting (Matsoukas et ... See full document
12
Connecting Phrase based Statistical Machine Translation Adaptation
... Suppose that two phrases ‘would like to learn’ and ‘Chinese as second language’ are in the in-domain PT. In decoding, these two phrases may be connected together as ‘would like to learn Chinese as second ... See full document
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NICT 2 Translation System for WAT2016: Applying Domain Adaptation to Phrase based Statistical Machine Translation
... We first describe the effects of external knowledge, as shown in Table 6. In Table 6, the upper and lower halves show the BLEU scores before and after adding the Google n-gram language model, respectively. By adding the ... See full document
7
Domain Adaptation of Maximum Entropy Language Models
... The models were regularized using Gaussian ...heuristically based on light tuning on develop- ment set ...ME models, the variance was fixed on per-model ba- ...jointly models global and ... See full document
6
Phrase Training Based Adaptation for Statistical Machine Translation
... The task of domain-adaptation attempts to exploit data mainly drawn from one domain (e.g. news, parliamentary discussion) to maximize the perfor- mance on the test domain (e.g. lectures, web ... See full document
6
Phrase Table Induction Using In Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation
... source phrase embedding, trained on m gold phrase pairs with source phrase embeddings simi- lar to the one to ...projection, based only on the similarity over embeddings, the k near- est ... See full document
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Dynamic Topic Adaptation for Phrase based MT
... mixture models (Foster and Kuhn, 2007) where each com- ponent contains data from a specific genre or do- ...Mixture models can be trained for cross- domain adaption when the target domain is ... See full document
10
Structured and Unstructured Cache Models for SMT Domain Adaptation
... of models which make translation decisions depending on the discourse ...language models based upon the identity of the speaker, text type (questions, debate, ... See full document
9
Topic Adaptation for Lecture Translation through Bilingual Latent Semantic Models
... respectively. Based on the assumption that the topics in a parallel text share the same semantic meanings across lan- guages, the topics are sampled from the same topic- document ... See full document
9
Anaphora Models and Reordering for Phrase Based SMT
... Our pronominal anaphora model is an adaptation of the pronoun prediction model described by Hard- meier et al. (2013b) to SMT. The model consists of a neural network that discriminatively predicts the translation ... See full document
8
Multi Domain Adaptation for SMT Using Multi Task Learning
... SMT models to multiple ...systems based on mixture mod- els, where each system is tailored for one specific domain with an in-domain Translation Model (TM) and an in-domain Language ... See full document
11
Learning Latent Word Representations for Domain Adaptation using Supervised Word Clustering
... differentiating domain- invariant features from domain-specific features (Daum´e III, 2007; Daum´e III et ...generalizable latent features across domains (Blitzer et ...it based on the use of ... See full document
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The TALP UPC Phrase Based Translation Systems for WMT13: System Combination with Morphology Generation, Domain Adaptation and Corpus Filtering
... the Asiya toolkit for MT evaluation (Gim´enez and M`arquez, 2010a); iii) LM (and LM-PoS) perplex- ities trained with monolingual data; iv) PR: Clas- sical lexical-based measures -BLEU (Papineni et al., 2002), NIST ... See full document
7
Fast Domain Adaptation of SMT models without in Domain Parallel Data
... across models) by performing repeated optimizations for out-domain models on a number of parallel development sets (see section 4 for more details of this data) using a traditional optimization ... See full document
10
Sentiment Domain Adaptation with Multiple Sources
... sentiment models, i.e., the global mod- el and the domain-specific models, from the da- ta of multiple source domains using multi-task ...source domain. The domain-specific sen- timent ... See full document
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The TALP UPC phrase based translation systems for WMT12: Morphology simplification and domain adaptation
... the domain adaptation ap- proach performed better than the morphology sim- plification on all metrics: BLEU, NIST, TER and METEOR, with an averaged gain of ... See full document
8
Domain Adaptation by Constraining Inter Domain Variability of Latent Feature Representation
... The latent variables encode regularities observed on unlabeled data from both domains, and they are learned to be predictive of the labels on the source ...the domain-adaptation setting is that some ... See full document
10
Learning a Phrase based Translation Model from Monolingual Data with Application to Domain Adaptation
... induced phrase pairs with our meth- od, we have conducted a deep analysis and find that we can learn three kinds of new translation knowledge: 1) word reordering in a phrase pair; 2) idioms; and 3) unknown ... See full document
10
Translation Model Based Cross Lingual Language Model Adaptation: from Word Models to Phrase Models
... TM based cross- lingual data selection model for LM adaptation in SMT, from word models to phrase models, and aims to find the LM training corpus which are similar to the translation ... See full document
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