[PDF] Top 20 Vector Space Models for Phrase based Machine Translation
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Vector Space Models for Phrase based Machine Translation
... standard phrase table is extracted using parallel training data, we propose to extend it and infer new entries relying on continuous representa- ...new phrase pair can be generated by re- placing either or ... See full document
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Dynamically Shaping the Reordering Search Space of Phrase Based Statistical Machine Translation
... sequence models predict which input word is likely to be translated at a given state of ...guage models (Feng et al., 2010) are smoothed n- gram models trained on a corpus of source sentences ... See full document
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Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings
... Step 2: extract phrase candidates. Since we can not learn vectors for all phrases in the corpus, we have to decide which phrases to use to learn vectors for. One option is to randomly glue desired number of ... See full document
7
Syntactic Constraints on Phrase Extraction for Phrase Based Machine Translation
... PBMT models (Koehn et al., 2003; Chiang, 2005) and syntax-based machine translation models (Yamada et ...statistical machine translation (SMT) meth- ...the phrase ... See full document
6
Local Phrase Reordering Models for Statistical Machine Translation
... stochastic models of local phrase movement that can be incorpo- rated into a Statistical Machine Transla- tion (SMT) ...These models pro- vide properly formulated, non-deficient, probability ... See full document
8
Towards one shot learning for rare word translation with external experts
... Neural machine translation (NMT) has significantly improved the quality of au- tomatic translation ...the translation of rare ...external models annotate the training data as Experts, ... See full document
10
Phrase Based Evaluation for Machine Translation
... years, machine translation (MT) has benefited a lot from the advancement of automatic evaluation which, compared with manual evaluation, can give quick and objective feedback on the quality of ...their ... See full document
10
Word Level Confidence Estimation for Machine Translation using Phrase Based Translation Models
... the phrase-based ...list based method out- perform the IBM-1 based confidence ...list based approach is better than that of the word graph ... See full document
8
Supertagged Phrase Based Statistical Machine Translation
... extract phrase pairs in the standard way (Och & Ney, 2003) and associate with each phrase-pair a set of target language syntactic struc- tures based on supertag ...Markov models, for ... See full document
8
Transliteration Using a Phrase Based Statistical Machine Translation System to Re Score the Output of a Joint Multigram Model
... in-house phrase- based statistical machine translation decoder called ...the models in the decoder were used to de- rive scores used to re-score the n-best (we used n=20 for our ... See full document
5
Vector Space Model for Adaptation in Statistical Machine Translation
... What follows is a partial list of pairs of phrases (all single words) from our system’s outputs, where the baseline chose the first member of a pair and the VSM-adapted system chose the second member of the pair to ... See full document
9
Phrase-Based Machine Translation based on Simulated Annealing
... the translation of Tour Eiffel gives Tower Eiffel then reordering process may produce the correct English ...of translation and at least avoid some reordering ...all phrase pairs that were consistent ... See full document
7
Pseudo Word for Phrase Based Machine Translation
... most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel corpus generated from word-based models (Brown et ...of ... See full document
9
Entropy based Pruning for Phrase based Machine Translation
... search space to the subspace SP (p(s, t)), that is, our search space is only composed by derivations that output t, with- out using p ...given translation hypothesis does not depend on the language ... See full document
10
Bidirectional Phrase based Statistical Machine Translation
... standard phrase- based machine translation decoder that operates according to the same principles as the publicly available PHARAOH (Koehn, 2004) and MOSES (Koehn et ...language models ... See full document
9
Phrase Based & Neural Unsupervised Machine Translation
... First, they carefully initialize the MT system with an inferred bilingual dictionary. Second, they leverage strong language models, via train- ing the sequence-to-sequence system (Sutskever et al., 2014; Bahdanau ... See full document
11
Neural Machine Translation Leveraging Phrase based Models in a Hybrid Search
... For the hybrid approach, we train a phrase-table on the in-domain data and split the source and tar- get phrases with BPE afterwards for compatibility with the NMT vocabulary. With the hybrid ap- proach, when ... See full document
10
Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... the translation process (Zamora-Martínez et ...be based on the work on distributed LMs, for instance (Brants et ...continuous space translation models in an bilingual tuple system only ... See full document
10
Phrase Based Backoff Models for Machine Translation of Highly Inflected Languages
... In order to derive the morphological decompo- sition we use existing tools. For stemming we use the TreeTagger (Schmid, 1994) for German and the Snowball stemmer 1 for Finnish. A vari- ety of ways for compound splitting ... See full document
8
CCG Syntactic Reordering Models for Phrase based Machine Translation
... man, 2000), a word-centered syntax that allows a great deal of flexibility in how sentence analyses are formed. Syntactic derivations in CCG are mas- sively spuriously ambiguous, i.e., there are many ways to derive the ... See full document
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