[PDF] Top 20 Chained Machine Translation Using Morphemes as Pivot Language
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Chained Machine Translation Using Morphemes as Pivot Language
... The root lemmatization is concerned in the first method, which is called the SMT-based morphological segmentation (SMT-MS) in this paper. Given the Mongolian-morphemes par- allel corpus, this method trains a ... See full document
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Using Morphemes from Agglutinative Languages like Quechua and Finnish to Aid in Low Resource Translation
... sentences using a version of Moses trained on Europarl is easier than Quechua to ...a pivot language, such as Spanish, the ideal candidate for translating the QU–ES texts to QU–FI texts and ...a ... See full document
11
Improving Pivot Based Statistical Machine Translation Using Random Walk
... corpus, which is a multi-lingual corpus including 21 Euro- pean languages. Due to the size of the data, we only select 11 languages which were added to Europarl from 04/1996 or 01/1997, including Dan- ish (da), German ... See full document
11
Selective Combination of Pivot and Direct Statistical Machine Translation Models
... to pivot the translation through a third language (called pivot or bridge language) for which there exist abundant parallel corpora with the source and target ...created pivot ... See full document
7
Improving Chinese-to-Japanese Patent Translation Using English as Pivot Language
... Much work has been done to overcome the data bottleneck problem. For example, Lu et al. (2009) exploited the existence of bilingual patent corpora and constructed a Chinese-English patent parallel corpus. Resnik and ... See full document
10
Vietnamese to Chinese Machine Translation via Chinese Character as Pivot
... expected translation, it is rough in line with the original meaning of source phrase and acceptable for most Chinese ...ters. Using a pivot language, Vietnamese names are hard to exactly be ... See full document
10
Persian-Spanish Low-Resource Statistical Machine Translation Through English as Pivot Language
... tiple translation tables for doing the combination ...the translation options are gath- ered from one table, and additional options are col- lected from other ...separate translation options for each ... See full document
7
A Comparison of Pivot Methods for Phrase Based Statistical Machine Translation
... two pivot strategies for phrase-based statistical machine transla- tion (SMT), namely phrase translation and sentence ...phrase translation strategy means that we di- rectly construct a phrase ... See full document
8
Improving Pivot Translation by Remembering the Pivot
... statistical machine translation (SMT) (Brown et ...that translation with mod- els trained on larger parallel corpora can achieve greater accuracy (Dyer et ...many language pairs, particularly ... See full document
5
The TALP UPC Machine Translation Systems for WMT19 News Translation Task: Pivoting Techniques for Low Resource MT
... for Machine Translation ...good translation results. In the WMT19 news translation shared task, two low- resourced language pairs where proposed, namely Gujarati-English and ... See full document
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Dialect Translation: Integrating Bayesian Co segmentation Models with Pivot based SMT
... natural language process- ing (NLP) applications like machine translation (MT), however, linguistic resources and tools usu- ally are available for the standard language, but not for ... See full document
9
Enhancing scarce resource language translation through pivot combinations
... in machine translation for this language ...on using a pivot ...As Pivot language we use English, Arabic and ...best pivot language between Chinese and ... See full document
5
Zero Resource Neural Machine Translation with Monolingual Pivot Data
... In pivot-based machine translation, text is first translated from the source language into the pivot language, and then from the pivot language into the target ... See full document
9
Improving Arabic Chinese Statistical Machine Translation using English as Pivot Language
... We are aware of two potentially biased aspects of our experimental setting. First, the Arabic and Chinese portions of our data collection, the UN corpus, are known to be generated from English originals. And secondly, ... See full document
9
Revisiting Pivot Language Approach for Machine Translation
... the pivot language ap- proach for machine ...for pivot translation, where the source- pivot and pivot-target corpora are inde- ...ken language translation ... See full document
9
Machine translation with North Saami as a pivot language
... the translation process, from the original to the pivot language, has clearly had an influence on the ...current translation process, we compare the WER results in Section ...source ... See full document
9
Redundancy Detection in ESL Writings
... the language model score of the sentence after the deletion of a word or a ...sentence’s translation into another language as pivot, then it applies a statis- tical machine ... See full document
9
Pivot Language Approach for Phrase Based Statistical Machine Translation
... Japanese language model training, we use about 100M bytes Japanese ...The translation result is shown in Figure 8. The pivot model only outperforms the standard model trained with 2,500 sentence ... See full document
8
Language Independent Connectivity Strength Features for Phrase Pivot Statistical Machine Translation
... chine translation (SMT) is the lack of par- allel data for many language ...to pivot through a third language for which there exist par- allel corpora with the source and target ...two ... See full document
7
A neural interlingua for multilingual machine translation
... zero-shot translation, which refers to the task of translating between language pairs without paral- lel text or pivoting through an intermediate lan- guage like ...zero-shot translation may yield ... See full document
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