[PDF] Top 20 Learning Translation Models from Monolingual Continuous Representations
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Learning Translation Models from Monolingual Continuous Representations
... The linear projection based methods, GLP and LLP, are in turn again several times faster than SLP with continuous representations. This is because they require significantly fewer k-NN queries. For both GLP ... See full document
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Recurrent Continuous Translation Models
... Continuous representations have shown promise at tackling these issues. Continuous representations for words are able to capture their morphological, syntactic and semantic similarity ... See full document
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Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... The translation model P ( s | t ) is estimated from bitexts and the language model P ( t ) from monolingual ...phrase-based models which translate short sequences of words together ... See full document
10
Learning Better Monolingual Models with Unannotated Bilingual Text
... multilingual models yield increased accuracy because differ- ent languages present different ambiguities and therefore offer complementary constraints on the shared underlying ... See full document
9
Bilingual Word Representations with Monolingual Quality in Mind
... for learning solely word embeddings by reversing the prediction process, that is, to use the current word to infer its sur- rounding context, as opposed to using preceding contexts to predict subsequent words in ... See full document
9
Continuous Space Translation Models with Neural Networks
... on continuous space language ...a continuous representation of words in lieu of stan- dard discrete ...mate translation probabilities in a continuous ...of translation units, and ... See full document
10
Learning Joint Multilingual Sentence Representations with Neural Machine Translation
... The use of multiple encoders and decoders was first studied in the context of neural MT. Dong et al. (2015) used multiple decoders, i.e. 1:N training, to achieve improved NMT performance. Zoph and Knight (2016) and Firat ... See full document
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A Discriminative Training Procedure for Continuous Translation Models
... tinuous models, the prefered use of CTMs is to rescore a list of N-best hypotheses, a scenario we favor here; note that their integration in a first pass search is also possible (Niehues and Waibel, 2012; Vaswani ... See full document
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Learning a Phrase based Translation Model from Monolingual Data with Application to Domain Adaptation
... chine translation (SMT) models are trained with the parallel corpora in some specific ...word-based translation model from the monolingual ...model from the monolingual ... See full document
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Improving word alignment for low resource languages using English monolingual SRL
... machine translation approach specifically geared to learning trans- lation from low resource languages, that exploits monolingual English semantic parsing to bias inversion transduction ... See full document
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Graph based Semi Supervised Learning of Translation Models from Monolingual Data
... method and also to highlight properties of the technique. With it, in §3.2 we first analyzed the impact of utilizing phrases instead of words and SLP instead of LP; the latter experiment under- scores the importance of ... See full document
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Learning Continuous Phrase Representations for Translation Modeling
... phrase translation model for SMT, where joint represen- tations are exploited of a phrase in the source lan- guage and of its translation in the target language, and where the translation score of ... See full document
11
Learning Monolingual Compositional Representations via Bilingual Supervision
... Sentence Representations Following Wieting et al. (2016), the models above are evaluated on the four Semantic Textual Simi- larity (STS) datasets (Agirre et ...sentences from dif- ferent domains ... See full document
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IPA and STOUT: Leveraging Linguistic and Source based Features for Machine Translation Evaluation
... the From/To English translation language pairs, including the newly developed measures —even if they per- formed poorly compared to others (see This is how the UPC-STOUT metrics sets for both from ... See full document
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Continuous Space Language Models for Statistical Machine Translation
... The continuous space language model was trained on exactly the same data than the back-off refer- ence language model, using the resampling algo- rithm described in (Schwenk and Gauvain, ...the continuous ... See full document
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Sentential Paraphrasing as Black Box Machine Translation
... Grammar Our approach to sentential paraphras- ing is analogous to machine translation. As a trans- lation grammar, we use PPDB 2.0, which contains 170-million lexical, phrasal, and syntactic para- phrases (Pavlick ... See full document
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Enlarging Monolingual Dictionaries for Machine Translation with Active Learning and Non-Expert Users
... 2. by simplifying revision and validation by de- scribing the regularities in the dictionary; for example, describing the inflection of a verb by giving its stem and inflection model (“it is conjugated as”) is safer than ... See full document
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Learning Bilingual Lexicons from Monolingual Corpora
... a translation lexicon us- ing monolingual corpora alone, in a variety of lan- guages and using a variety of corpora, even in the absence of orthographic ...the monolingual corpora are from ... See full document
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Sentence Simplification by Monolingual Machine Translation
... In this work we aim to investigate the use of phrase- based machine translation modified with a dissim- ilarity component for the task of sentence simplifi- cation. While Zhu et al. (2010) have demonstrated that ... See full document
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Monolingual Machine Translation for Paraphrase Generation
... corpus from news clusters using word alignment error rate, or AER, (Och & Ney 2003) as an evaluation ...paraphrases from MSA and WordNet (desig- nated as WN ...sentences from held-out ... See full document
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