[PDF] Top 20 A Multi Domain Translation Model Framework for Statistical Machine Translation
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A Multi Domain Translation Model Framework for Statistical Machine Translation
... language model interpo- lation into the decoding phase is far greater than for translation models, since the number of hy- potheses that need to be evaluated by the language model is several orders ... See full document
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Context Adaptation in Statistical Machine Translation Using Models with Exponentially Decaying Cache
... ing, tuning (assuming that interpolation weights and other cache parameters can be fixed after some initial experiments) nor the incorporation of any other in-domain resources. Cache based adapta- tion can ... See full document
8
A Localized Prediction Model for Statistical Machine Translation
... localized model, successor blocks of dif- ferent sizes are directly compared to each other, which is intuitively not the best approach ...of multi- ple counting of events, which means that a source/target ... See full document
8
Domain Adaptation for Medical Text Translation using Web Resources
... adapting statistical machine translation (SMT) systems to medical domain using in-domain and general-domain data as well as web- crawled in-domain ...apply domain ... See full document
6
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 ... See full document
10
Domain Adaptation for Statistical Machine Translation with Domain Dictionary and Monolingual Corpora
... proves translation quality, achieving an im- provement of about 2 BLEU score as compared with Model 2 in Table ...improve translation quality since the OOV rates are ... See full document
8
Domain Adaptation for Statistical Machine Translation with Monolingual Resources
... Results suggest that regardless of the used bilin- gual corpora the in-domain TMs and RMs work better alone than combined with the original mod- els. We think that this behavior can be explained by a limited ... 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 ...language model in the target ...a statistical ... See full document
10
Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
... Finally, we make some improvements to baseline approaches. We train linear mixture models for con- ditional phrase pair probabilities over IN and OUT so as to maximize the likelihood of an empirical joint phrase-pair ... See full document
9
Phrase Based Statistical Machine Translation: A Level of Detail Approach
... to model the translation of a phrase using the word-based translation ...literal translation of phrase constituents is often in- appropriate from a linguistic point of ...word-based ... See full document
12
Translation Model Size Reduction for Hierarchical Phrase based Statistical Machine Translation
... SMT model try to identify infrequent entries (Zollmann et ...the translation perfor- mance due to their side effect of algorithms; simi- lar multiple entries can be pruned at the same time deteriorating ... See full document
5
Improving Statistical MT through Morphological Analysis
... for statistical machine translation is described by Lee ...Arabic-English translation takes as input POS-tagged English and Arabic text, where the Arabic words have been pre-segmented into ... See full document
8
A Novel Reordering Model Based on Multi layer Phrase for Statistical Machine Translation
... phrase-based translation model (HPTM) reorganizes phrases into hierarchical ones by reducing sub-phrases to variables (Chiang ...reordering model (MEBTG). Compared with contiguous phrase- based ... See full document
9
Statistical machine translation based on translation rules
... IBM model with HMM model, Och realized word alignment ...entropy model to integrate various language characteristics and statistical information into statistical machine ... See full document
8
Cross Corpora Evaluation and Analysis of Grammatical Error Correction Models — Is Single Corpus Evaluation Enough?
... GEC model generally aims to robustly correct grammatical errors in any writ- ten text partly because the task difficulty varies depending on proficiency levels and essay top- ...a model outperforms a ... See full document
6
Combining Statistical Machine Translation and Translation Memories with Domain Adaptation
... using domain-specific translation memories for training machine translation systems, we have shown that very limited amounts of in-domain data can be successfully complemented with ... See full document
11
Linguistically Augmented Bulgarian to English Statistical Machine Translation Model
... In fact, instead of competing with each other, there is also a line of research trying to com- bine the advantages of the two sides using a hybrid framework. Although many systems can be put under the umbrella of ... See full document
10
A Sense Based Translation Model for Statistical Machine Translation
... In order to train these classifiers, we have to col- lect training events from our word-aligned bilin- gual training data where source words are anno- tated with their corresponding sense clusters pre- dicted by the ... See full document
11
Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
... score, a separate optimization of each feature is a winner in our experiment in that no other scheme is better, with 8 of the 11 alternative weighting schemes (excluding uniform weights) being sig- nificantly worse than ... See full document
11
Improving Pronoun Translation for Statistical Machine Translation
... An analysis of the judgements on the remain- ing three evaluation criteria (outlined in Section 4.4) for the 31 differences provides further infor- mation. The Baseline system appears to be more accurate, with 19 ... See full document
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