applying morphology generation models to machine translation

... linguistics, machine translation (MT) investigates how to use ers to translate text from one language to another From the late 1980s, as the computersbecome more powerful, statistical machine translation ... beamsearch The decoder can be used to rewrite texts from one form to another In contrast to the beam-search decoders widely used in statistical machine translation (SMT) andautomatic speech recognition ... is to propose a text rewriting decoder, and then apply it totwo applications: social media text normalization for machine translation, and sourcelanguage adaptation for resource-poor machine translation

Ngày tải lên: 10/09/2015, 09:01

... APPLICATION TO MACHINE TRANSLATION CHAN YEE SENG NATIONAL UNIVERSITY OF SINGAPORE 2008 Trang 2WORD SENSE DISAMBIGUATION:SCALING UP, DOMAIN ADAPTATION, AND APPLICATION TO MACHINE TRANSLATION CHAN ... training data to a WSD system To reduce the effort required to adapt a WSD system to a new domain, we employed an active learning strategy (Lewisand Gale, 1994) to select examples to annotate from ... algorithm to detect a change inpredominant sense between domains Together with the use of count-merging andactive learning, we are able to perform effective domain adaptation to port a WSDsystem to

Ngày tải lên: 11/09/2015, 16:08

... R-CNN [5] Some research groups focus to improve feature extraction task, such as [6-9] Most of them efforted to customize classified models by combination of some machine techniques, such as SVM, ... comparation to transfer learning This work proposes a solution for automatic detection pests to advise and recommend the pest treatments in advance This task is expected to bring an efficiency to farming, ... the pest prediction results are used to recommend to farmers how to treat or automate pest treatment without manual human in advanced systems JTE, Issue 72A, October 2022 64 JOURNAL OF TECHNICAL

Ngày tải lên: 17/12/2022, 08:33

... application to support scanning skin images to diagnose skin diseases and added features to support users in making appointments with doctors and viewing a list of drug recommendations from doctors.doctor ... part 5.2 to Main Flow of 80 Application Move part 3 of chapter 5 to new chapter and change to name Deployment Application Trang 13Chapter 1 Introduction1.1 Introduction topic According to the Global ... suggestedscaling up CNN models to achieve more accuracy and efficiency [10] EfficientNet is divided into many models with different structures EffectiveNet BO through B7: Every version correlates to distinct

Ngày tải lên: 02/10/2024, 02:37

... target language (or even both) Towards the ultimate goal of building end-to-end machine translation systems without any human annotations, we also experiment with automatically inferred word classes ... propose to represent each phrase pair instance (including its bilingual one-word contexts) as feature vectors, i.e., points of a vector space We then use these data points to partition the space into ... model for machine translation, and make use of clustered phrase pairs to cope with data sparseness in the model They achieve the clustering by reducing phrases to their head words and then applying

Ngày tải lên: 23/03/2014, 16:20

... (FO) to refer to the subsets of the corpus that are translated from En-glish to French and from French to EnEn-glish, re-spectively The translation tasks are English-to-French (E2F) and English-to-French-to-English ... an additional factor in the phrase table that “encourages” the decoder to select translation Trang 8op-tions that are closer to translated texts than to orig-inal ones In order to study the effect ... Apparently, when the decoder is coerced to select translation options that are more adapted to translationese, it tends to select source phrases that are more related to original texts, re-sulting in

Ngày tải lên: 31/03/2014, 20:20

... many kind of translation units, we have some methods: • Word-based translation models: using word as the translation unit • Phrase-based translation models: using phrase as the translation unit ... like to give a brief of Statistical Machine Translation (SMT), to address the problem, the motivations of our work, and the main contributions ofthis thesis Firstly, we introduce the Machine Translation ... needs many people totake part in to evaluate the translation However this method is used in some share task(?) In general, the fluency of the translation is used to rate the quality To measure thefluency

Ngày tải lên: 25/03/2015, 09:44

... iterations (-maxiter), the stop window size (–stopwin) and the stop epsilon (–stopeps) to 200, 6 and 0.00005 respectively We also 7 http://www.knime.org/knime-desktop Trang 8compare our classifier ... proposed task To avoid the gap between hypothesis and its post-edition since the correctors can paraphrase or reorder words to form the smoother translation, we highly recommend them to keep the ... set; the rest belongs to the Bad label set The contributions of WCE for the other aspects of MT are incontestable First, it assists the post-editors to quickly identify the translation errors [2],

Ngày tải lên: 13/08/2015, 10:00

... Meteor 1.3: Automatic metric for reliable optimization and evaluation of machine translation systems In Proceedings of WMT George Doddington 2002 Automatic evaluation of machine translation quality ... Baldwin 2009 The hare and the tortoise: Speed and accuracy in translation retrieval Machine Translation, 23(4):195–240 Satanjeev Banerjee and Alon Lavie 2005 METEOR: An automatic metric for MT evaluation ... Thornton, Jonathan Weese, and Omar F Zaidan 2009 Joshua: An open source toolkit for parsing-based machine translation In Proceedings of WMT Maoxi Li, Chengqing Zong, and Hwee Tou Ng 2011 Automatic

Ngày tải lên: 10/09/2015, 09:08

... Statistical Machine Translation System Moses, which was introduced by (Koehn et al., 2007), is a complete open sourcetoolkit for statistical machine translation It can automatically train translationmodels ... to train the MT system Trang 17con-2.1 Machine Translation 6Statistical Statistical Machine Translation (STM) system uses statistical models to generatetranslations based on the bilingual and ... are used to translate thesub-sentential parts of the original source sentence into the target language, andthese parts are put together to generate a complete translation Neural Machine Translation

Ngày tải lên: 14/10/2019, 23:57

... of iterations (-maxiter), the stop window size (–stopwin) and the stop epsilon (–stopeps) to 200, and 0.00005 respectively We also http://www.knime.org/knime-desktop N.Q Luong et al / VNU Journal ... requester to propose a paid or unpaid work and a worker to perform the proposed task To avoid the gap between hypothesis and its post-edition since the correctors can paraphrase or reorder words to ... Model Based Features Applying SRILM toolkit [18] with the bilingual corpus, we build 4-gram language models for both target and source side These language models permit to compute the “longest

Ngày tải lên: 17/03/2021, 20:29

... many kind of translation units, we have some methods: • Word-based translation models: using word as the translation unit • Phrase-based translation models: using phrase as the translation unit ... like to give a brief of Statistical Machine Translation (SMT), to address the problem, the motivations of our work, and the main contributions ofthis thesis Firstly, we introduce the Machine Translation ... needs many people totake part in to evaluate the translation However this method is used in some share task(?) In general, the fluency of the translation is used to rate the quality To measure thefluency

Ngày tải lên: 27/06/2022, 08:52

... need to have sufficient value stocks to estimate theBayesian models has caused us to use a different definition for the value stocks within thethree markets – the top 25% of stocks by book-to-market ... used multiples include price-to-earnings, price-to-sales, price-to-cash flow and price-to-book These are all very simple measures that areused to ranks stocks in order to identify which are considered ... The objective of thisexercise is to develop models aimed at separating value stocks into those that are likely tooutperform the market and those that are likely to under-perform As discussed earlier,

Ngày tải lên: 18/10/2022, 06:08

... environmental monitoring programs, a geostatistical model is considered as the imputation model Kriging and other stochastic predictors for spatial data are referred to as geostatistical models in the ... researcher to account for the variability due to imputation and to analyze the data using standard techniques and software available for complete datasets (Schafer & Olsen, 1998; Schafer, 1997) To account ... geostatistical models with multiple imputation to deal with missing data in environmental surveys The method is applied to the analysis of data generated from a probability survey to estimate Coho

Ngày tải lên: 01/11/2022, 22:44

... many kind of translation units, we have some methods: • Word-based translation models: using word as the translation unit • Phrase-based translation models: using phrase as the translation unit ... like to give a brief of Statistical Machine Translation (SMT), to address the problem, the motivations of our work, and the main contributions ofthis thesis Firstly, we introduce the Machine Translation ... needs many people totake part in to evaluate the translation However this method is used in some share task(?) In general, the fluency of the translation is used to rate the quality To measure thefluency

Ngày tải lên: 05/12/2022, 15:49

... noisy channel model to machine translation In this framework, the target sentence is transformed into the source sentence by the noisy channel model We represent the machine translation problem ... discusses syntax-based translation models, specifically focusing on the application of syntax as the translation unit Section 2.1 describes the PBMT (Phrase-Based Machine Translation) approach, ... source sentence into phrases; second, translating each phrase into the target phrase; and finally, reordering the target phrases The IBM models are employed to construct the translation model,

Ngày tải lên: 12/07/2023, 13:26

... five MT tools given, there are other MT tools which are close to FFL’s students in the translation process such as English to Vietnamese translator, tracau.vn, etc.This is not difficult to explain ... four tools tend to be rated medium with reference to translation of grammar.This comes as no surprise because currently, the five MT tools, especially Google Translate uses Neural Machine Translation ... the topic ““An investigation into the application of machine translation tools in translating texts from English to Vietnamese among FFL’s students at NEU”’I hope you can spend a moment to respond

Ngày tải lên: 22/07/2024, 22:07

... “Introduction to Support Vector Machines SVM,” GeeksforGeeks, Feb 2023, [Online] Available: https://www.geeksforgeeks.org/introduction-to-support-vector-machines-svm/ [8] N Selvaraj, “8 machine learning models ... callbacks=[monitor], verbose=2,epochs00) # Load the training and validation loss data train_loss =model.history.history['loss'] val_loss = model.history.history['val_loss'] # visualization of early stopping ... behavior in machine learning that occurs when a machine learning model produces accurate predictions on training data but not on new data When data scientists use machine learning models to make

Ngày tải lên: 30/09/2024, 18:06

... a valuable tool for forecasting stock prices in the financial sector By incorporating factors like stock-trading volume and exchange rates, ARIMA models offer a flexible approach to predicting ... ratio assesses a company's ability to quickly convert its liquid assets into cash to meet short-term financial obligations It excludes inventory from current assets to provide a conservative measure ... calculated by dividing Total Liabilities by Shareholder's Equity In this report, Total Liabilities is computed as Total Current Liabilities minus Total Noncurrent Liabilities (Debt To Equity Ratio -

Ngày tải lên: 08/10/2024, 02:13

... Exploratory Data AnalysisLASSO Least absolute shrinkage and selection operator VAR Vector autoregressive ADL Autoregressive distributed lag XGBoost Extreme Gradient Boosting SVR Support Vector Regression ... properties.According to [6],[7], price of real estate is influenced by several factors like: e Property-related factors ¢ Locational Factors ¢ Environmental FactorsThe purpose of this thesis is first to examine ... isn’t suitable to be used directly so it need to be pre-processed before it can be used to fit the parameter of the models It is required to remove redundant attributes andconverted into appropriate

Ngày tải lên: 23/10/2024, 00:54