[PDF] Top 20 Submodularity for Data Selection in Machine Translation
Has 10000 "Submodularity for Data Selection in Machine Translation" found on our website. Below are the top 20 most common "Submodularity for Data Selection in Machine Translation".
Submodularity for Data Selection in Machine Translation
... MT data selection (Section 3) and analyze them with respect to their submodular ...SMT data selection objective and present a new class of submodular functions tailored towards this ...the ... See full document
11
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation
... Neural Machine Translation (NMT) with multilingual corpora, training on the most related high-resource lan- guage only is often more effective than us- ing all data available (Neubig and Hu, ... See full document
6
Automatic Threshold Detection for Data Selection in Machine Translation
... Biomedical Translation Task of the Sec- ond Conference on Machine Translation (WMT ...ing data selection for Machine Transla- tion via Paragraph Vector and a Feed For- ward ... See full document
6
Extracting In domain Training Corpora for Neural Machine Translation Using Data Selection Methods
... Data selection is a technology used to improve Machine Translation (MT) performance by choos- ing a subset of the corpus for the training of MT systems (Chen et ...select data with the ... See full document
8
Dynamically Composing Domain Data Selection with Clean Data Selection by “Co Curricular Learning” for Neural Machine Translation
... of data quality for neural machine ...domain- data selection, clean-data selection, or their static combination, leaving the dynamic in- teraction across them not explicitly ... See full document
11
Dynamic Data Selection for Neural Machine Translation
... neural machine translation (NMT), we explored in this paper to what extent and how NMT can benefit from data ...of-the-art data selection method yields unreliable results for NMT while ... See full document
11
Transductive Data Selection Algorithms for Fine Tuning Neural Machine Translation
... Machine Translation models are trained to translate a variety of documents from one language into ...transductive data selection algorithms which take advantage the information of the test set ... See full document
11
Denoising Neural Machine Translation Training with Trusted Data and Online Data Selection
... is data selection for machine ...of data is based on cross entropy difference (CED) between an in-domain and an out-of-domain language ...ing data with CED according to an in-domain LM ... See full document
11
Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation
... Data selection is an effective approach to domain adaptation in statistical ma- chine ...for data se- lection: while the improvements are var- ied ...in-domain data and can sometimes ... See full document
6
Adaptive Development Data Selection for Log linear Model in Statistical Machine Translation
... the data mismatch is- sue between training and decoding time of log- linear SMT models, and presented principled methods for dynamically inferring test data de- pendent model parameters with development set ... See full document
9
Improving Statistical Machine Translation Performance by Training Data Selection and Optimization
... pass translation is usually needed to generate n-best translation candidates in language model ...adaptation. Translation model ad- aptation doesn’t need a pre-translation ...and ... See full document
8
ParFDA for Instance Selection for Statistical Machine Translation
... training data selected to about ...for translation directions involving Romanian and Turkish, this corresponds to increased training set size compared with ParFDA experiments in 2015, where we were able to ... See full document
7
Proceedings of the Third Conference on Machine Translation: Research Papers
... Kenton Murray and David Chiang . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 212 Extracting In-domain Training Corpora for Neural Machine ... See full document
30
Selecting Data for English to Czech Machine Translation
... on data selection for machine ...parallel data source used in ...to data selection by full-text indexing and search: we select sentences similar to the test set from a large ... See full document
8
Discriminative Sample Selection for Statistical Machine Translation
... (E2P) data originates from a two-way collection of spoken dialogues, and con- sists of two parallel sub-corpora: a directional E2P corpus and a directional Pashto-English (P2E) cor- ...above data was ...P2E ... See full document
10
Can Machine Learning Algorithms Improve Phrase Selection in Hybrid Machine Translation?
... In recent years, the overall quality of machine translation output has improved greatly. Still, each technological paradigm seems to suffer from its own particular kinds of errors: statistical MT (SMT) ... See full document
6
Statistical Machine Translation Improvement based on Phrase Selection
... In SMT, (Baisa, 2011), first proposed the chunk- based language model (including phrase-based) in machine translation but did not give a solution. Recently, (Xu and Chen., 2015) designed a direct algorithm ... See full document
7
A Comparative Evaluation of Data driven Models in Translation Selection of Machine Translation
... Table 4 shows 5 most similar words of ran- domly selected words from 3,443 examples. We extracted 3,443 example sentences containing grammatical relations, like verb-object, subject- verb and adjective-noun, from Wall ... See full document
7
Apertium fin eng–Rule based Shallow Machine Translation for WMT 2019 Shared Task
... 2019 data there was a number of words that I decided not to add to our dictionaries, unlike our usual workflow where I aim at virtual 100 % coverage with gold ...the data in our error analysis as well as ... See full document
7
Post Editing System For Statistical Machine Translation
... Here in this example two corrections are made by SPE i.e. ਯਤਨ and ਿਹੱਿਸਆਂ with improved BLEU Score 0.8249 which was 0.7846 earlier in SMT system. But one error is still present in the post-edited sentence. So the words ... See full document
6
Related subjects