[PDF] Top 20 Discriminative Word Alignment with a Function Word Reordering Model
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Discriminative Word Alignment with a Function Word Reordering Model
... correct alignment points. Predicting the alignment for this particular Chinese- English sentence pair is challenging, since the sig- nificantly different syntactic structures of these two languages lead to ... See full document
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Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation
... lexicalized reordering model for phrase-based statistical ma- chine translation using a deep neural ...Lexicalized reordering suffers from reordering ambiguity, data sparseness and noises in a ... See full document
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Soft Syntactic Constraints for Word Alignment through Discriminative Training
... gual word alignment finds word-to-word connec- tions across ...1993), word alignment has be- come the first step in training most statistical trans- lation systems, and ... See full document
8
A Semi Supervised Word Alignment Algorithm with Partial Manual Alignments
... manual alignment links in a maximum en- tropy ...semi-supervised word aligners are proposed (Blunsom and Cohn, 2006; Niehues and Vogel, 2008; Taskar et ...for discriminative models, with the ... See full document
10
Word Alignment-Based Reordering of Source Chunks in PB-SMT
... Lexicalized reordering model conditions reordering on the PB-SMT ...of reordering – monotone (M), swap (S), and discontinuous (D) – by con- sidering the orientation of previous and next ...The ... See full document
7
Estimating Word Alignment Quality for SMT Reordering Tasks
... of word alignment on translation quality in SMT generally explore link level metrics only and mostly do not show any clear connec- tions between alignment and SMT qual- ...of word ... See full document
12
A New Objective Function for Word Alignment
... their alignment model as a minimum cost quadratic flow problem, for which optimal alignments can be computed with off-the- shelf ...optimizers. Alignment in the modified model of ... See full document
8
A Word Reordering Model for Improved Machine Translation
... ordering model in machine translation ...best reordering based on our reordering model for each ...Translation Model 2 (DTM) systems (Ittycheriah and Roukos, 2007) with and without ... See full document
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Experiments with word alignment, normalization and clause reordering for SMT between English and German
... target word order and agreement in the translation output, we added an extra output factor in our translation models consisting of tags with POS and morphological ...sequence model is a 7-gram model ... See full document
6
Research on Deep Learning HMM Word Alignment
... of word alignment model by using linguistic formal ...one-to-many alignment description. He[3] used lexical reordering model to improve the weakness of the reordering ... See full document
5
Recurrent Neural Networks for Word Alignment Model
... As an instance of discriminative models, we de- scribe an FFNN-based word alignment model (Yang et al., 2013), which is our baseline. An FFNN learns a hierarchy of nonlinear features that can ... See full document
11
A Discriminative Syntactic Word Order Model for Machine Translation
... the alignment between subtrees in the two languages is very complex (Wellington et ...the word alignment (we use GIZA++ (Och and Ney, 2004)), ensuring better parallelism of the source and target ... See full document
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Report of the Shared Task on Learning Reordering from Word Alignments at RSMT 2012
... based model and a factor based model. The phrase based model was trained without any preprocessing or reordering of ...based model used ‘surface word form’ and the ‘POS tag’ ... See full document
8
A Clustered Global Phrase Reordering Model for Statistical Machine Translation
... a word distance-based reordering model in which non-monotonic phrase alignment is penalized based on the word distance between successively translated source phrases without considering ... See full document
8
Modeling with Structures in Statistical Machine translation
... It has the following advantages over word-based alignment: • Since the translation model can directly depict phrase reordering in translation, it is more accurate for translation between[r] ... See full document
7
Large scale Word Alignment Using Soft Dependency Cohesion Constraints
... the word alignment quality of generative models is still far from satisfactory for SMT ...years, discriminative alignment models incorporating linguistically motivated features have become ... See full document
10
Multi Word Expression Sensitive Word Alignment
... IBM Model 4 is used as the base- line for word alignment, which we compare to our modified ...GIZA++. Model 4 is incrementally trained by performing 5 iterations of Model 1, 5 ... See full document
9
A Discriminative Neural Model for Cross Lingual Word Alignment
... Neural Alignment Models Legrand et al. (2016) develop a neural alignment model that uses a con- volutional encoder for the source and target se- quences and a negative-sampling-based ...each ... See full document
11
Discriminative Word Alignment by Linear Modeling
... generative alignment methods based on IBM Model 4 and HMM as baseline systems: (1) C → E, (2) E → C, (3) intersection, (4) union, (5) refined method (Och and Ney 2003), (6) grow-diag-final (Koehn, Och, and ... See full document
38
A Discriminative Matching Approach to Word Alignment
... model hyper-parameters, such as null counts or smoothing amounts, which are crucial to pro- ducing alignments of good quality. A primary drawback of the generative approach to align- ment is that, as in all ... See full document
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