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[PDF] Top 20 Bilingually constrained Phrase Embeddings for Machine Translation

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Bilingually constrained Phrase Embeddings for Machine Translation

Bilingually constrained Phrase Embeddings for Machine Translation

... propose Bilingually-constrained Re- cursive Auto-encoders (BRAE) to learn semantic phrase embeddings (compact vector representations for phrases), which can distinguish the phrases with ... See full document

11

Neural Machine Translation with Reordering Embeddings

Neural Machine Translation with Reordering Embeddings

... in phrase-based statistical machine ...reordering embeddings are stacked together with self-attention networks to learn sentence representation for machine ...Japanese-to-English ... See full document

13

Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings

Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings

... bilingual embeddings was proposed in Mikolov et ...into embeddings, then try to find a transformation function to map the source embedding space into the target ...word-level translation engine with ... See full document

10

Unsupervised Statistical Machine Translation

Unsupervised Statistical Machine Translation

... improve machine translation using monolingual ...the phrase table of SMT systems by inducing translation candidates and/or scores from monolingual corpora, using either sta- tistical ... See full document

11

Bilingually Constrained (Monolingual) Shift Reduce Parsing

Bilingually Constrained (Monolingual) Shift Reduce Parsing

... Chinese translation the choice becomes clear (see Figure 1), because a Chinese PP always immediately precedes the phrase it is modifying, thus making PP-attachment strictly ...Chinese translation ... See full document

10

Integration of Multiple Bilingually Learned Segmentation Schemes into Statistical Machine Translation

Integration of Multiple Bilingually Learned Segmentation Schemes into Statistical Machine Translation

... rescored translation model covers all trans- lation pairs that were learned by any of the iterative ...longer translation units during decoding can re- duce the complexity of the translation ... See full document

9

Bilingually Motivated Domain Adapted Word Segmentation for Statistical Machine Translation

Bilingually Motivated Domain Adapted Word Segmentation for Statistical Machine Translation

... to Phrase-Based Statis- tical Machine Translation ...specific translation task at hand by taking the corresponding source (target) language into ... See full document

9

Quality Estimation with Force Decoded Attention and Cross lingual Embeddings

Quality Estimation with Force Decoded Attention and Cross lingual Embeddings

... neural machine translation system and cross-lingual phrase embeddings as input features of a re- gression ...neural machine translation sys- tem with an attention mechanism with ... See full document

6

Learning to Generate Word  and Phrase Embeddings for Efficient Phrase Based Neural Machine Translation

Learning to Generate Word and Phrase Embeddings for Efficient Phrase Based Neural Machine Translation

... neural machine transla- tion (Wu et ...by translation of typologically di- vergent language pairs, especially when languages are morphologically rich (Burlot and Yvon, ... See full document

8

Bilingual Word Embeddings for Phrase Based Machine Translation

Bilingual Word Embeddings for Phrase Based Machine Translation

... gual embeddings trained with the combined objec- tive defined by Equation 5 perform ...trained embeddings 4 out-perform pruned tf-idf by ...out-perform embeddings initial- ized from alignment by ... See full document

6

Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings

Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings

... Skip-gram embeddings does not really contain much of Part of Speech (POS) in- formation ...ture phrase) semantic part of the word, forgetting redundant dimensions, and updating the first word with some ... See full document

7

A Phrase Orientation Model for Hierarchical Machine Translation

A Phrase Orientation Model for Hierarchical Machine Translation

... hierarchical phrase-based trans- lation paradigm, without having to resort to ap- proximations in decoding, which is necessary to determine the right-to-left orientation in a standard phrase-based system ... See full document

12

SampleRank Training for Phrase Based Machine Translation

SampleRank Training for Phrase Based Machine Translation

... Statistical machine translation systems are normally optimised for a chosen gain func- tion (metric) by using MERT to find the best model ...of phrase- based MT systems, SampleRank, which scales to ... See full document

11

Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques

Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques

... Neural machine translation has significantly pushed forward the quality of the ...word embeddings. We take advantage of the fact that word embeddings are used in neural ma- chine ... See full document

8

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

... For Rule (1) and Rule (2), they strictly comply with the syntactic structures. Given two peer phrases, we have two choices to use one of them. Thus, we use maximum entropy (ME) model algo- rithm to estimate their ... See full document

8

A Framework for Managing Verb Phrase Effective and Easy English-Hindi Machine Translation

A Framework for Managing Verb Phrase Effective and Easy English-Hindi Machine Translation

... For Machine Translation (MT), English grammar is categorized for verb phrase structure², which involves different combinations of tenses (present, past, future), aspects and moods ... See full document

6

Supertagged Phrase Based Statistical Machine Translation

Supertagged Phrase Based Statistical Machine Translation

... Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic structure caused system per- formance to deteriorate. In this work we show that incorporating ... See full document

8

Hierarchical Phrase Table Combination for Machine Translation

Hierarchical Phrase Table Combination for Machine Translation

... combining phrase tables from each do- main is alternated in the ascending and descending of the similarity to the test ...erarchical phrase combination method is sensitive to the integration order when the ... See full document

9

Phrase Based & Neural Unsupervised Machine Translation

Phrase Based & Neural Unsupervised Machine Translation

... that combines these two previous neural ap- proaches, simplifying the architecture and loss function while still following the above men- tioned principles. The resulting model outper- forms previous approaches and is ... See full document

11

Improvements in Phrase Based Statistical Machine Translation

Improvements in Phrase Based Statistical Machine Translation

... The described search is monotone at the phrase level. Within the phrases, there are no constraints on the re- orderings. Therefore, this method is best suited for lan- guage pairs that have a similar order at the ... See full document

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