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A Discriminative Approach for Dependency Based Statistical Machine Translation
... the translation model proposed in this paper have been ...syntax based statistical machine translation system, which can act as a plat- form for further experiments on similar ... See full document
9
A Dependency Edge based Transfer Model for Statistical Machine Translation
... rule-based translation solves the machine translation problem in a more divided scheme, where the processing procedures of analysis, structural transfer and language generation are modeled ... See full document
11
Target Side Context for Discriminative Models in Statistical Machine Translation
... Discriminative lexicons address some of the core challenges of phrase-based MT (PBMT) when translating to morphologically rich languages, such as Czech, namely sense disambiguation and morphological ... See full document
11
Dependency Based Bilingual Language Models for Reordering in Statistical Machine Translation
... 3.2 Dependency-based contextual functions In NLP approaches exploiting dependency struc- ture, two kinds of relations are of special impor- tance: the parent-child relation and the sibling re- ... See full document
12
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Example Based Machine Translation (EBMT) ... See full document
8
A Discriminative Latent Variable Model for Statistical Machine Translation
... Statistical machine translation (SMT) has seen a resurgence in popularity in recent years, with progress being driven by a move to phrase-based and syntax-inspired ...count based 1 ... See full document
9
Discriminative Feature Tied Mixture Modeling for Statistical Machine Translation
... with about 10M sentence pairs and 300M words in total (counted at the English side). For each sentence in the training, three types of word alignments are created: maximum entropy alignment (Ittycheriah and Roukos, ... See full document
5
Dependency Based Bracketing Transduction Grammar for Statistical Machine Translation
... (ME) based re- ordering ...BTG-based translation (Se- tiawan et ...the translation quality. As a result, how to ob- tain better translation by exploiting target syntac- tic knowledge is ... See full document
9
Extending Statistical Machine Translation with Discriminative and Trigger Based Lexicon Models
... A discriminative word lexicon that uses global, ...a statistical classi- fier and a trigger-based lexicon model that extends the well-known IBM model 1 (Brown et ...the discriminative word ... See full document
9
Discriminative Reranking for Grammatical Error Correction with Statistical Machine Translation
... tween the results of baseline and reranking using our features was statistically significant (p < 0.01). Be- cause a large N-gram language model was adopted for reranking, recall increased considerably but pre- cision ... See full document
6
A novel dependency to string model for statistical machine translation
... In the following parts, we first describe the moti- vation of using head-dependents relations (Section 2). Then we formalize our grammar (Section 3), present our rule acquisition algorithm (Section 4), our model (Section ... See full document
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Dependency Tree Abstraction for Long Distance Reordering in Statistical Machine Translation
... pus based on SCFG with increased flexibility and trains a BTG model using the processed corpus, we compare our method to another BTG model trained only with the original corpus (simply re- ferred to as the BTG ... See full document
10
Hierarchical MT Training using Max Violation Perceptron
... Large-scale discriminative training has be- come promising for statistical machine translation by leveraging the huge train- ing corpus; for example the recent effort in phrase-based MT ... See full document
6
Decoder based Discriminative Training of Phrase Segmentation for Statistical Machine Translation
... phrase- based statistical machine ...segmentation based on the translation quality. The proposed approach constructs the phrase labeled data by using the SMT decoder, so that the ... See full document
10
Discriminative Instance Weighting for Domain Adaptation in Statistical Machine Translation
... In this paper we have proposed an approach for instance-weighting phrase pairs in an out-of-domain corpus in order to improve in-domain performance. Each out-of-domain phrase pair is characterized by a set of ... See full document
9
Discriminative Training and Maximum Entropy Models for Statistical Machine Translation
... language translation. In contrast to their approach, we include a depen- dence on the hidden variable of the translation model in the direct translation ...use statistical alignment ... See full document
8
Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation
... We use SVM classification model in the WEKA tools [6] that supports multi-class prediction. Since it naturally supports multi-class prediction and can therefore be used to select one out of many possible permutations. ... See full document
14
Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars
... Our approach, while similar to (Ding and Palmer, 2004a) in that we also iteratively parti- tion the parallel dependency trees based on a heu- ristic function, departs (Ding and Palmer, 2004a) in ... See full document
8
Phrase Based Statistical Machine Translation: A Level of Detail Approach
... Early approach to statistical machine translation relies on the word-based trans- lation model to describe the translation process ...word-to-word translation often fails ... See full document
12
Discriminative Sample Selection for Statistical Machine Translation
... tences based on various features, including domain representativeness, translation difficulty, and batch ...n-gram based dissimilarity selection, its coarse granularity (reducing a candidate sentence ... See full document
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