[PDF] Top 20 Statistical models for text normalization and machine translation
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Statistical models for text normalization and machine translation
... source text proved hard to come ...parallel text: 129,983 translation segments containing 1,016,041 words of Scottish Gaelic and 956,598 words of ... See full document
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Bilingual Cluster Based Models for Statistical Machine Translation
... Statistical models, such as n-gram models, are widely used in natural language processing, for ex- ample in speech recognition and statistical machine translation ...a ... See full document
10
A Beam Search Decoder for Normalization of Social Media Text with Application to Machine Translation
... as machine translation. Text normalization is thus important for processing of social media ...other normalization oper- ations should also be performed, ...various normalization ... See full document
11
Review of Different Approaches for Machine Translations
... approach, translation is generated on the basis of statistical ...The statistical model parameters are derived from the analysis of bilingual text ...three: Statistical word-based ... See full document
6
Insertion and Deletion Models for Statistical Machine Translation
... deletion models for Chinese→English hierarchical machine translation are ...the models to a very strong setup with discriminative word lexicons, triplet lexicon mod- els and a discriminative ... See full document
5
Vietnamese Text Accent Restoration with Statistical Machine Translation
... The VnMark (Toan, 2008) used n-gram lan- guage model to create a dictionary file. It is VN- MarkDic.txt file. This file shows occurrence prob- ability of phrase in Vietnamese texts and it will build the case restoration ... See full document
7
Improved Alignment Models for Statistical Machine Translation
... The results of the translation experiments using the single-word based approach and the alignment template approach on text input and on speech input are summarized in Table 2.. The resu[r] ... See full document
9
Adaptation of Reordering Models for Statistical Machine Translation
... for statistical machine translation (SMT) has mainly focused on the translation model (TM) and the language model ...these models should be esti- mated ... See full document
9
Continuous Space Translation Models for Phrase Based Statistical Machine Translation
... In our initial experiments, we trained a neural network to estimate the forward phrase transla- tion probability P ( ¯ t | ¯ s ) . The maximal phrase length was set to seven words, as it is also used during the standard ... See full document
10
Urdu to English Machine Translation using Bilingual Evaluation Understudy
... is Statistical Machine Translation ...translating text from one language to ...in machine translation between languages with significant word order differences ...Based ... See full document
8
Improving Statistical Machine Translation by Adapting Translation Models to Translationese
... the translation and language models can further improve the translation ...a translation model trained on a concatenation of S → T and T → S parallel corpora and a language model compiled from ... See full document
26
Multiple stream Language Models for Statistical Machine Translation
... Baseline results for all test points using only the GW background LM are shown in the top row in Tables 9 and 10. We then interpolated the ORLMs with this LM. For each stream test point we interpo- lated with the big GW ... See full document
10
Large and Diverse Language Models for Statistical Machine Translation
... Often more data is better data, and so it should come as no surprise that recently statistical machine trans- lation (SMT) systems have been improved by the use of large language models (LM). ... See full document
6
Improving Statistical Machine Translation with Word Class Models
... ent machine translation paradigms and with arbitrary types of ...French→German translation task with both standard phrase-based and hierarchical phrase-based translation systems for a com- mon ... See full document
5
Bilingual Structured Language Models for Statistical Machine Translation
... that models sentence genera- tion ...use models whose score can be computed ...language models define sentence generation hierarchically (Shen et ... See full document
11
Continuous Space Language Models for Statistical Machine Translation
... We have also presented a neural network LM that performs probability estimation in a contin- uous space. Since the resulting probability func- tions are smooth functions of the word represen- tation, better ... See full document
8
Deep Syntax Language Models and Statistical Machine Translation
... We carry out an experimental evaluation to inves- tigate the potential of the deep syntax language model we describe in this paper independently of any machine translation system. We train a 5- gram deep ... See full document
9
Triplet Lexicon Models for Statistical Machine Translation
... The work in this paper tries to complement the WSD approaches by using long-range dependen- cies. If triggers from a local context determine dif- ferent lexical choice for the word being triggered, the setting is ... See full document
10
Stream based Translation Models for Statistical Machine Translation
... To ensure the recency results reported above were not limited to French-English, this time our paral- lel input stream was generated from the German- English language pair of Europarl with German as source and English ... See full document
9
Optimizing Statistical Machine Translation for Text Simplification
... phrasing models for text simplification — most pre- vious work has used off-the-shelf statistical machine translation (SMT) technology and achieved reason- able results (Coster and ... See full document
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