[PDF] Top 20 Training a Parser for Machine Translation Reordering
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Training a Parser for Machine Translation Reordering
... a translation is a fundamental problem in ...of translation qual- ity than those that give more weight to word choice, like BLEU (Lavie and Denkowski, 2009; Isozaki et ...getting reordering right. ... See full document
10
Inducing a Discriminative Parser to Optimize Machine Translation Reordering
... a parser for SMT by training a discriminative model to maximize reordering accuracy while treating the parse tree as a latent ...both reordering and translation accuracy, leading to ... See full document
11
Head Finalization Reordering for Chinese to Japanese Machine Translation
... improving machine translation quality when source and tar- get languages are structurally very ...the reordering problem in multiple ...do reordering during preprocess- ing time, where the ... See full document
10
A Lightweight Evaluation Framework for Machine Translation Reordering
... English-to-Japanese machine translation system (Och, 2003). Dur- ing both training and testing, the system reorders source-language sentences in a preprocessing step using a set of rules written in ... See full document
10
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... model training and Giza++ toolkit (Och and Ney, 2003) for word ...For reordering model training, two kinds of parse trees for each foreign sentence in the training corpus were ob- tained ... See full document
8
Dependency Tree Abstraction for Long Distance Reordering in Statistical Machine Translation
... constituency parser (Miyao and Tsujii, 2005; Miyao and Tsujii, ...JE translation, we transform a Japanese dependency tree into a constituency tree using a simple heuristic because there is no publicly ... See full document
10
Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation
... 1. To facilitate the calculation of Pr( e ( d )), chart items now include a list of (n−1)-grams that encode the context in which output NL phrases appear. The size of the list is 2N + 2, where N is the number of ... See full document
8
A Comparative Study on Reordering Constraints in Statistical Machine Translation
... the training corpus align- ...both translation direc- tions German-English (S→T) and English-German (T→S) for the Verbmobil task and French-English (S→T) and English-French (T→S) for the Canadian Hansards ... See full document
8
Adaptation of Reordering Models for Statistical Machine Translation
... the training corpora and the development and test sets; for the training corpora, we show their size in number of words as a percentage of all training ...Most training cor- pora consist of ... See full document
9
CCG Syntactic Reordering Models for Phrase based Machine Translation
... CFG parser to label target strings and then re- works the CFG parse trees, if needed,x to ac- count for non-traditional ...CCG parser we use is trained on a CCG treebank that is the result of a carefully ... See full document
12
Chinese Syntactic Reordering for Statistical Machine Translation
... frequent reordering er- ...the translation performance. Thus our strategy has been to find reordering rules for syntac- tic categories that are common in the data and sys- tematically different ... See full document
9
Reordering Model for Forest to String Machine Translation
... rule translation prob- abilities, general lexical and provenance transla- tion probabilities, language model, and a vari- ety of sparse ...The training corpus consists of 16 million sen- tence pairs ... See full document
6
Shift Reduce Word Reordering for Machine Translation
... word reordering model that employs a shift-reduce parser for inversion transduction ...phrase-based machine trans- lation (PBMT) for Japanese-to-English patent ... See full document
5
A Word Reordering Model for Improved Machine Translation
... tical machine translation (Tillmann and Ney, 2003; Zaslavskiy et ...for reordering can be learned from a small amount of high-quality word alignment data by means of pairwise word comparisons and an ... See full document
11
LSTM Neural Reordering Feature for Statistical Machine Translation
... For neural network training, we use all parallel text in the baseline training. As a trade-off be- tween computational cost and performance, the pro- jection layer and hidden layer are set to 100, which is ... See full document
6
Local Phrase Reordering Models for Statistical Machine Translation
... We here describe the integration of the phrase re- ordering model in an MT system trained on large bitexts. The text processing and language mod- els have been described in § 4.1. Alignment Mod- els are trained on all ... See full document
8
Incorporating Word Reordering Knowledge into Attention based Neural Machine Translation
... We have presented three distortion models to enhance attention-based NMT through incor- porating the word reordering knowledge. The basic idea of proposed distortion models is to enable the attention mechanism to ... See full document
11
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... Yaser Al-Onaizan and Kishore Papineni. 2006. Dis- tortion models for statistical machine translation. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual ... See full document
11
Neural Machine Translation with Reordering Embeddings
... each training batch, a set of sentence pairs contained approximately 4096×4 source tokens and 4096×4 target ...During training, the value of label smoothing was set to ...the training of 200,000 ... See full document
13
Dependency-based Pre-ordering For English-Vietnamese Statistical Machine Translation
... in machine translation (MT) between two languages with significant differences in word ...dependency parser in phrase-based statistical machine translation (SMT) to learn automatic and ... See full document
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