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[PDF] Top 20 Active Learning for Multilingual Statistical Machine Translation

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Active Learning for Multilingual Statistical Machine Translation

Active Learning for Multilingual Statistical Machine Translation

... of translation in phrase- based SMT ...phrase translation probabilities need to be es- timated accurately, which means sentences that of- fer phrases whose occurrences in the corpus were rare are ...human ... See full document

9

Graph based Learning for Statistical Machine Translation

Graph based Learning for Statistical Machine Translation

... of translation memories (Maruyana and Watanabe, 1992; Veale and Way, ...1997). Translation memories are (usually commercial) databases of segment translations extracted from a large database of ... See full document

9

Active Learning and Crowd-Sourcing for Machine Translation

Active Learning and Crowd-Sourcing for Machine Translation

... automatic translation like Ex- ample Based and Statistical Machine Translation systems use large amounts of parallel data created by humans to train mathematical models for automatic language ... See full document

6

Name Translation in Statistical Machine Translation   Learning When to Transliterate

Name Translation in Statistical Machine Translation Learning When to Transliterate

... 3. On the fly, we add transliterations to SMT phrase table. Instead of a phrasal probability, the transliterations have a special binary feature set to 1. In a tuning step, the Minimim Error Rate Training component of ... See full document

9

Online Learning for Interactive Statistical Machine Translation

Online Learning for Interactive Statistical Machine Translation

... line learning for IMT is (Cesa-Bianchi et ...online learning is not able to extend the translation models due to technical problems with the efficiency of the learning ...purely ... See full document

9

Non linear Learning for Statistical Machine Translation

Non linear Learning for Statistical Machine Translation

... feature learning by using hidden nodes to model the in- teraction among a large vector of raw features, as in image and speech processing (Krizhevsky et ...of translation, the fluency of target sen- tence, ... See full document

11

Learning Joint Multilingual Sentence Representations with Neural Machine Translation

Learning Joint Multilingual Sentence Representations with Neural Machine Translation

... We propose to use multiple encoders and de- coders, one for each source and target language respectively. The notion of multiple input lan- guages can be also extended to different modali- ties, e.g. speech and images. ... See full document

11

Two Multilingual Corpora Extracted from the Tenders Electronic Daily for Machine Learning and Machine Translation Applications

Two Multilingual Corpora Extracted from the Tenders Electronic Daily for Machine Learning and Machine Translation Applications

... and multilingual data that is very valuable to the Natural Language Processing ...complex machine translation, multilingual terminology extraction, text-mining, or to benchmark information ... See full document

5

A Quality-based Active Sample Selection Strategy for Statistical Machine Translation

A Quality-based Active Sample Selection Strategy for Statistical Machine Translation

... a machine translation (MT) system is to enhance it with new training ...as active learning (AL) (Settles, 2010). Active learning has been extensively used in various Natural Lan- ... See full document

6

On Statistical Machine Translation and Translation Theory

On Statistical Machine Translation and Translation Theory

... an active sentence in the input with a passive sentence in the output, or a personal con- struction in the SL with an impersonal construction in the TL without being aware of ...correct translation of ... See full document

5

ASSAMESE TRANSLATION SYSTEM

ASSAMESE TRANSLATION SYSTEM

... layer, statistical machine translation method Like deep learning for speech ...the translation of such language is implemented in our ...speech translation of the Hindi to ... See full document

5

Active Learning for Interactive Neural Machine Translation of Data Streams

Active Learning for Interactive Neural Machine Translation of Data Streams

... presumably due to the BPE used in NMT: the data stream contained sentences from different do- mains, but they can be effectively encoded into known sequences via BPE. The SMT system was unable to handle well such unseen ... See full document

10

A neural interlingua for multilingual machine translation

A neural interlingua for multilingual machine translation

... The language pair schedule used during train- ing is crucial for learning an effective sentence representation. We provide the details in Algo- rithm 1. In our initial experiments, we cycled through 10 language ... See full document

9

Confidence based Active Learning Methods for Machine Translation

Confidence based Active Learning Methods for Machine Translation

... Active learning (AL) is a technique for the auto- matic selection of data which is most useful for model ...of machine trans- lation (MT), AL is particularly important as the acquisition of data ... See full document

6

A Semi Supervised Batch Mode Active Learning Strategy for Improved Statistical Machine Translation

A Semi Supervised Batch Mode Active Learning Strategy for Improved Statistical Machine Translation

... the translation phrase table and target language model ...phrase translation probabilities, the maximum forward and reverse word-level lexical translation probabilities, num- ber of competing target ... See full document

9

Active Learning for Statistical Phrase based Machine Translation

Active Learning for Statistical Phrase based Machine Translation

... prehensive learning curve analysis of a phrase-based SMT system, and one of the conclusions they draw is, “The first obvious approach is an effort to iden- tify or produce data sets on demand (active ... See full document

9

Transductive learning for statistical machine translation

Transductive learning for statistical machine translation

... the translation direction p(s | t), (b) one or several n-gram language model(s) trained with the SRILM toolkit (Stolcke, 2002); in the experi- ments reported here, we used 4-gram models on the NIST data, and a ... See full document

8

Tutorial: De mystifying Neural MT

Tutorial: De mystifying Neural MT

... Neural Statistical Machine Translation Neural Machine Translation Encoder Decoder Sequence-to-sequence learning: Encoder Sequence-to-sequence learning: Decoder Let’s use a simple NN for [r] ... See full document

84

Online Learning for Statistical Machine Translation

Online Learning for Statistical Machine Translation

... online learning techniques for statistical machine translation ...of translation agencies or the daily translation of government ...batch learning techniques require very ... See full document

41

Improving Statistical Machine Translation with a Multilingual Paraphrase Database

Improving Statistical Machine Translation with a Multilingual Paraphrase Database

... Alexandrescu and Kirchhoff (2009) use a graph-based semi-supervised model determine similarities between sentences, then use it to re- rank the n-best translation hypothesis. Liu et al. (2012) extend this model to ... See full document

12

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