[PDF] Top 20 A Model of Competence for Corpus Based Machine Translation
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A Model of Competence for Corpus Based Machine Translation
... Translation Memories (TMs) are such purely memory based MT-systems. A TM e.g. TRADOS's Translator's Workbench (Heyn, 1996), and STAR's TRANSIT calculates the graphemic similarity of the input text and the ... See full document
5
Competence based Curriculum Learning for Neural Machine Translation
... 2009). Machine learn- ing models are typically trained using stochastic gradient descent methods, by uniformly sampling mini-batches from the pool of training examples, and using them to compute updates for the ... See full document
11
Evaluating the morphological competence of Machine Translation Systems
... syntactic competence of Neu- ral Language Models (NLMs) or of NMT; and by Isabelle et ...cal competence of MT engines translating from English into a Morphologically Rich Language ...the translation ... See full document
13
A Path based Transfer Model for Machine Translation
... A transfer rule specifies how a path in the source language dependency tree is translated. We extract transfer rules automatically from a word-aligned corpus. For example, Fig. 2(b-g) are some of the rules ... See full document
6
Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... phrase- based system was trained on the Europarl v7 corpus (Koehn, ...language model was trained on the English side of the parallel corpus augmented with a corpus of sentences from AP ... See full document
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Non projective Dependency based Pre Reordering with Recurrent Neural Network for Machine Translation
... Yaser Al-Onaizan and Kishore Papineni. 2006. Dis- tortion models for statistical machine translation. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th Annual ... See full document
11
UPM system for the translation task
... statistical machine translation toolkit that is used to calculate the alignments between Spanish and English words in both direction (Spanish-English and English- ...the translation model, the ... See full document
6
Phrase Reordering Model Integrating Syntactic Knowledge for SMT
... Reordering model is important for the sta- tistical machine translation (SMT). Current phrase-based SMT technologies are good at capturing local reordering but not global reordering. This ... See full document
8
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring
... unsupervised machine translation track of the WMT’19 news shared task from German to ...tistical machine translation (PBSMT) model and a pre-trained language model to combine ... See full document
8
A Proposal for a Coherence Corpus in Machine Translation
... terministic approach based on hand-crafted rules. Logacheva and Specia (2015) inject various types of errors to generate negative data for quality es- timation purposes, but these are at the word level, and the ... See full document
7
Hindi-English Neural Machine Translation Using Attention Model
... several machine learning ...using machine learning ...a translation memory tool which worked as a sub- system in their transfer-based MT ...their machine learning model which ... See full document
5
Integrating Translation Memory into Phrase Based Machine Translation during Decoding
... marked or not. Another difference between Ma- 11 and Koehn-10 is how the XML input is con- structed. In constructing the XML input sentence, Ma-11 replaces each matched source phrase in the given source sentence with the ... See full document
11
Discriminative Corpus Weight Estimation for Machine Translation
... the translation model (reestimate the phrase and lexical translation prob- abilities based on the updated corpus weights), so the cost of each iteration is significantly higher than in ... See full document
10
A Reading Comprehension Corpus for Machine Translation Evaluation
... of Machine Translation (MT), automatic metrics are usually preferred over human evaluation, given time and budget ...a corpus of reading comprehension tests based on machine translated ... See full document
7
Rationale for a multilingual corpus for machine translation evaluation
... our corpus, but there are several problems involving the analysis of ...are based on respondents’ own interpretations of the “text types” suggested in the survey and these inevitably overlap in terms of ... See full document
11
Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation
... improving machine transla- tion ...reordering model can be learned from high quality manual word alignments to improve machine translation perfor- ...ing model (and thereby ... See full document
10
Bilingual Co Training for Sentiment Classification of Chinese Product Reviews
... matic translation is a feasible alternative for the construction of resources and tools for subjectivity analysis in a new target ...the corpus-based method for cross-lingual sentiment classification ... See full document
30
WN Toolkit: Automatic generation of WordNets following the expand model
... the machine translation strategy we are getting 2,076 candidatesfor the Semcor Corpus and 4,959 for the Princeton Gloss Corpus, and we are now getting 313 candidates for the multilin- gual WSD ... See full document
9
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... Statistical Machine Translation ...in machine translation between languages with significant word order differences ...Example Based Machine Translation (EBMT) that ... See full document
8
A Sense Based Translation Model for Statistical Machine Translation
... In order to train these classifiers, we have to col- lect training events from our word-aligned bilin- gual training data where source words are anno- tated with their corresponding sense clusters pre- dicted by the ... See full document
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