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[PDF] Top 20 Pseudo Word for Phrase Based Machine Translation

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Pseudo Word for Phrase Based Machine Translation

Pseudo Word for Phrase Based Machine Translation

... most Phrase-Based Statistical Machine Translation (PB-SMT) systems starts from automatically word aligned parallel cor- ...But word appears to be too fine-grained in some cases ... See full document

9

Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

Efficient Solutions for Word Reordering in German English Phrase Based Statistical Machine Translation

... also for reordering pruning (sixth row) we are able to recover the performance of the medium-DL baseline performance and even to slightly improve it. It is interesting to note that the largest improve- ment concerns the ... See full document

12

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation

Neural Reordering Model Considering Phrase Translation and Word Alignment for Phrase based Translation

... for phrase-based statistical ma- chine translation using a deep neural ...using phrase translation and word alignment to construct phrase vectors to handle inherently ... See full document

10

A Character level Decoder without Explicit Segmentation for Neural Machine Translation

A Character level Decoder without Explicit Segmentation for Neural Machine Translation

... Character-Level Translation? Why not Word-Level Translation? The most pressing issue with word-level processing is that we do not have a perfect word segmentation al- gorithm for any ... See full document

11

Combination of Arabic Preprocessing Schemes for Statistical Machine Translation

Combination of Arabic Preprocessing Schemes for Statistical Machine Translation

... different phrase tables, each generated using a different preprocessing scheme; just as with ROC, there is a subsequent rescoring ...privileged phrase table than in the non-privileged ... See full document

8

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

A Clustered Global Phrase Reordering Model for Statistical Machine Translation

... Viterbi phrase align- ments can be implemented as a phrase-based de- coder using a beam search whose outputs are con- strained only to the target ...N-best phrase alignment can be obtained by ... See full document

8

NAVER Machine Translation System for WAT 2015

NAVER Machine Translation System for WAT 2015

... We found that the character-level system does not suffer from tokenization error and out-of- vocabulary issue. The JPO corpus contains many technical terms and loanwords like chemical com- pound names, which are more ... See full document

5

Phrase Based Evaluation for Machine Translation

Phrase Based Evaluation for Machine Translation

... calculating phrase similarity, allocating weight to each phrase, and finding a maximum similarity ...function based on WordNet but also explore a topic similarity function based on a popular ... See full document

10

A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation

A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation

... Recall was reasonably high. However, the upper bound of recall was 100 percent because we used a multilingual corpus whose sentences were aligned to each other across all four languages, as described in Section 4.1. ... See full document

8

Syntactic Constraints on Phrase Extraction for Phrase Based Machine Translation

Syntactic Constraints on Phrase Extraction for Phrase Based Machine Translation

... candidate translation gets an extra credit if it re- spects the source side syntactic parse tree but may incur a cost if it violates a constituent ...a phrase (a sequence of contiguous words) is bracketable ... See full document

6

Improving Statistical Machine Translation Using Word Sense Disambiguation

Improving Statistical Machine Translation Using Word Sense Disambiguation

... a word sense disambigua- tion system within a typical phrase-based statistical machine translation (SMT) model consistently improves translation quality across all three ... See full document

12

Supertagged Phrase Based Statistical Machine Translation

Supertagged Phrase Based Statistical Machine Translation

... There are currently two supertagging approaches available: LTAG-based (Bangalore & Joshi, 1999) and CCG-based (Clark & Curran, 2004). Both the LTAG (Chen et al., 2006) and the CCG supertag sets ... See full document

8

SampleRank Training for Phrase Based Machine Translation

SampleRank Training for Phrase Based Machine Translation

... system, the eight core features were supplemented with the six features of the lexicalised reordering model, which was trained on the same data as was used to build the translation model. Whilst a train- ing set ... See full document

11

Character Cluster Based Segmentation using Monolingual and Bilingual Information for Statistical Machine Translation

Character Cluster Based Segmentation using Monolingual and Bilingual Information for Statistical Machine Translation

... the translation result with the reference in term of BLEU score instead of F-score because of two main ...SMT translation quality in terms of BLEU score ...the translation result data based on ... See full document

8

Phrase Based Statistical Machine Translation: A Level of Detail Approach

Phrase Based Statistical Machine Translation: A Level of Detail Approach

... a phrase often constitutes some spurious words. The word-based trans- lation model often has trouble in modeling spurious words, such as function ...a phrase. It is beneficial to realize these ... See full document

12

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

Phrase Reordering Model Integrating Syntactic Knowledge for SMT

... tistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global ...state-of-the-art phrase-based SMT ... See full document

8

Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings

Phrase based Unsupervised Machine Translation with Compositional Phrase Embeddings

... to translation is the same for all methods: learn- ing word level embedding spaces for source and target languages and then aligning these ...perform word by word ...the word embedding ... See full document

7

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

... a phrase-based continuous-output NMT (PCoNMT) model built upon continuous- output NMT (Kumar and Tsvetkov, 2019), in which the decoder generates embeddings of words or phrases ...one-to-many word ... See full document

8

A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation

A Hybrid Word Alignment Model for Phrase Based Statistical Machine Translation

... of word alignment quality by combining three word alignment tables (i) GIZA++ alignment (ii) Berkeley Alignment and (iii) rule based align- ...in word alignment by improving the quality of ... See full document

8

Phrase Pair Rescoring with Term Weighting for Statistical Machine Translation

Phrase Pair Rescoring with Term Weighting for Statistical Machine Translation

... In machine translation, intuitively, the informative content words should be emphasized more for better adequacy of the translation ...tical translation approach does not take account how ... See full document

8

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