[PDF] Top 20 Tree based Hybrid Machine Translation
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Tree based Hybrid Machine Translation
... The automatic post-editing approach proposed here does not exactly fit the classification of par- allel coupling approaches in Thurmair (2009). Other coupling architectures with post-editing work on words or phrases and ... See full document
10
Tree Kernels for Machine Translation Quality Estimation
... partly based: On the one hand, we enhance the set of 17 baseline features provided by the organisers with another 82 explicitly defined ...syntactic tree kernels to extract implicit features from ... See full document
5
Seeding Statistical Machine Translation with Translation Memory Output through Tree Based Structural Alignment
... the translation correspond- ing to each segment given as an attribute to the encapsulating XML tag, similarly to the system described in (Smith and Clark, ... See full document
9
Hybrid Approaches to Improvement of Translation Quality in Web based English Korean Machine Translation
... Abstract The previous English-Korean MT system that was the transfer-based MT system and applied to only written text enumerated a following brief list of the problems that had not seeme[r] ... See full document
5
Tree to Sequence Attentional Neural Machine Translation
... French-to-English translation task, and the tech- nique has also proven effective in translation tasks between other European language pairs (Luong et ...are based on sequential ...of ... See full document
11
Towards String To Tree Neural Machine Translation
... a Tree-LSTM (Tai et al., 2015) over a constituency parse tree; Bastings et ...a hybrid approach in which trans- lations are scored by combining scores from an NMT system with scores from a Hiero ... See full document
9
Travatar: A Forest to String Machine Translation Engine based on Tree Transducers
... and tree- based decoding techniques, which take a tree or forest as input and choose the reordering and translation jointly (Yamada and Knight, 2001; Liu et ...both translation and ... See full document
6
Semantic Roles for String to Tree Machine Translation
... more than 250K sentence pairs, which consist of 6.3M English words. The corpus was drawn from the newswire texts available from LDC. 1 We used a 392-sentence development set with four refer- ences for parameter tuning, ... See full document
5
A Hybrid Approach for Deep Machine Translation
... The generation phase relies completely on the Moses system. Then, in the post processing step, a rule-based system is applied, based on lingusitically-enhanced information. It includes various types of ... See full document
8
English to Telugu Rule based Machine Translation System: A Hybrid Approach
... Rule based MT methodologies can be broadly classified as direct, transfer and Interlingua [9]. In direct methodology, there are no intermediate stages in the translation. It doesn’t use any complex rules or ... See full document
6
Character based Decoding in Tree to Sequence Attention based Neural Machine Translation
... In sentence A, we can see that the character-based models correctly translated the source word “micro” with the characters “ ”, while the word-based decoder requires the unknown replacement (Luong et al., ... See full document
9
Forced Derivation Tree based Model Training to Statistical Machine Translation
... In the BTG system, the MaxEnt model is used as a binary classifier to predict reordering operations of neighbor translation blocks. As the baseline DM and our FDT-DM have different mechanisms on training instance ... See full document
10
Automatic Cross Lingual Similarization of Dependency Grammars for Tree based Machine Translation
... constituency tree-based translation (Huang and Knight, 2006; Ambati and Lavie, 2008; Wang et ...for machine translation resorting to self-training (Morishita et ... See full document
10
Towards Semantic based Hybrid Machine Translation between Bulgarian and English
... the translation model perform ...soft translation alternatives to the translation model, which chooses the final version in accordance with its language ... See full document
5
Neural Machine Translation Leveraging Phrase based Models in a Hybrid Search
... In the line of research closely related to our ap- proach, neural models are used as additional fea- tures in vanilla phrase-based systems. Examples include the work of (Devlin et al., 2014), (Junczys- Dowmunt et ... See full document
10
Cross-language Projection of Dependency Trees for Tree-to-tree Machine Translation
... Syntax-based machine translation (MT) is an attractive approach for introducing addi- tional linguistic knowledge in corpus-based ...that tree- to-string and string-to-tree ... See full document
9
A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation
... SMT based model for chunk translation and then aligned the source- target chunk pairs after validating the translated ...model based approach for Eng- lish—Chinese NE alignment which significantly ... See full document
8
Synchronous Tree Adjoining Machine Translation
... Current tree-based models that integrate lin- guistics and statistics, such as GHKM (Galley et ...learn translation rules (b) - (d) without the optional adjective or noun ... See full document
10
Akamon: An Open Source Toolkit for Tree/Forest Based Statistical Machine Translation
... parse tree/forest has two attractive properties as a representation of a source sentence in syntax-based ...a translation rule by exploiting the fine-grained syntactic description in the source parse ... See full document
6
A non contiguous Tree Sequence Alignment based Model for Statistical Machine Translation
... contiguous tree sequence pairs 1 , and find them use- less via real syntax-based translation ...one tree pair in the training data with its alignment information illustrated as ...syntactic ... See full document
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