[PDF] Top 20 Improved Models of Distortion Cost for Statistical Machine Translation
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Improved Models of Distortion Cost for Statistical Machine Translation
... tortion cost model that allows the distortion limit to be raised significantly without a catastrophic de- crease in ...future cost heuristic for linear distortion that restores baseline ... See full document
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Modified Distortion Matrices for Phrase Based Statistical Machine Translation
... phrase translation model, a lexicalized reordering model, a 6-gram target language model, distortion cost, word and phrase ...7.2 Translation quality and efficiency results We evaluate ... See full document
10
Distortion Model Considering Rich Context for Statistical Machine Translation
... new distortion mod- els for phrase-based SMT. In decoding, a distortion model estimates the source word position to be translated next (NP) given the last translated source word position ...a ... See full document
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Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... the translation model. Both were developed for tuple-based translation systems, ...was improved by considering different factorization of the joint probability, in particular word-based ones: the ... See full document
10
UCSMNLP: Statistical Machine Translation for WAT 2019
... initial distortion weights are changed from ...the translation result did not improve significantly compared with ...The translation quality is not good ...the translation result is ... See full document
5
Residual Stacking of RNNs for Neural Machine Translation
... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...based machine ... See full document
7
Improved Statistical Machine Translation Using Paraphrases
... in statistical machine translation has largely focused on introducing morphological anal- ysis as a way of reducing the number of types ob- served in a training ... See full document
8
Statistical Machine Translation with Local Language Models
... lexicalized distortion, distinguishing between mono- tone, swap, and discontinuous reordering, all with respect to the previous and next phrase (Koehn et ...The distortion limit is set to 5 for Arabic- ... See full document
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Incorporating Word Reordering Knowledge into Attention based Neural Machine Translation
... computing cost of the attention mecha- nism when dealing with long sentences, Lu- ong et ...our distortion models explicitly capture word reordering knowledge through estimating the probability ... See full document
11
Advancements in Reordering Models for Statistical Machine Translation
... where improved reordering could be integrated: In the preprocessing: the source sentence is re- ordered by heuristics, so that the word order of source and target sentences is ... See full document
11
Mixing Multiple Translation Models in Statistical Machine Translation
... log-linear models, the model scores are not normalized to form probability distributions, the scores that different models assign to each phrase- pair may not be in the same ...a cost in de- coding ... See full document
10
Segment Choice Models: Feature Rich Models for Global Distortion in Statistical Machine Translation
... trary reordering of phrases, but impose a distortion penalty proportional to the difference between the new and the original phrase order (Koehn, 2004). Some interesting recent research focuses on reor- dering ... See full document
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Distortion Models for Statistical Machine Translation
... Distortion models were first proposed by (Brown et ...IBM Models. IBM Mod- els 2 and 3 define the distortion parameters in terms of the word positions in the sentence pair, not the actual ... See full document
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Continuous Space Language Models for Statistical Machine Translation
... In this work, a slightly different procedure was used that operates directly on the translation lat- tices. We believe that this is more efficient than reranking n-best lists since it guarantees that al- ways all ... See full document
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Improved Alignment Models for Statistical Machine Translation
... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document
9
Multiple stream Language Models for Statistical Machine Translation
... average translation performance can be im- proved upon when using more than a single in- domain ...not improved, transla- tion performance for both ...the translation of in-domain test ... See full document
10
Deep Syntax Language Models and Statistical Machine Translation
... Tables 3 and 4 show the most frequently en- countered trigrams in the test data for each type of model. A comparison shows how different the two models are and highlights the potential of the deep syntax language ... See full document
9
Triplet Lexicon Models for Statistical Machine Translation
... The work in this paper tries to complement the WSD approaches by using long-range dependen- cies. If triggers from a local context determine dif- ferent lexical choice for the word being triggered, the setting is ... See full document
10
Adaptation of Reordering Models for Statistical Machine Translation
... of translation mod- els (TMs) and language models (LMs) has become common for SMT systems, but to our knowledge this is the first attempt in the literature to adapt the ...improve translation ... See full document
9
Statistical Machine Translation Models for Personalized Search
... Earlier approaches to personalization have con- sidered, user profile to be a collection of words, on- tology, language model etc. We perceive the user profile learning through a Noisy Channel Model. In the model, when a ... See full document
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