[PDF] Top 20 Bayesian Word Alignment for Massively Parallel Texts
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Bayesian Word Alignment for Massively Parallel Texts
... shows alignment quality during training in a model initialized using a translation in Man- darin, which is not related to any of the languages in the evaluation sample and was chosen to avoid initialization ... See full document
5
Using Parallel Texts and Lexicons for Verbal Word Sense Disambiguation
... lated texts (instead of a manually translated paral- lel corpus), and second, to use automatically ex- tracted valency alignments based on our Czech- English “manual” experience with ... See full document
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Transliteration and alignment of parallel texts from Cyrillic to Latin
... the novella. The example of the OCR-ized text is presented in Fig. 2. As we see there are several mistakes in the process of optical character recognition. One of the aspects concerns the darker areas that pretend to be ... See full document
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ISA & ICA - Two Web Interfaces for Interactive Alignment of Bitexts alignment of parallel texts
... external word aligner is called when clicking on the ’align’ button. Alignment is done for one bitext segment (a pair of aligned sentences from the sentence aligned cor- ...the word alignment ... See full document
6
Research on Deep Learning HMM Word Alignment
... bilingual parallel corpus and bilingual sentences with manual word ...monolingual texts are used to train the low-dimensional vector in the model, and used as the character of reference system for ... See full document
5
A Bayesian model for joint word alignment and part of speech transfer
... for word alignment require considerable amounts of parallel text to deliver ac- curate results, a requirement which is met only for a small minority of the world’s approximately 7,000 ...performing ... See full document
10
Exploiting Parallel Texts for Word Sense Disambiguation: An Empirical Study
... After word alignment, each 3-sentence context in English containing an occurrence of the noun w that is aligned to a selected Chinese translation then forms a training ...the parallel texts ... See full document
8
Fine Grained Word Sense Disambiguation Based on Parallel Corpora, Word Alignment, Word Clustering and Aligned Wordnets
... To enhance our results, we have explored the use of additional resources, in particular, the aligned wordnets in BalkaNet (Tufiş et al. 2004a). BalkaNet is a European project that is developing monolingual wordnets for ... See full document
7
Aligning Clattses in Parallel Texts
... The Dice coefficient is used as the similarity measure between words of two languages in an attempt to secure the conectness of the alignment of parallel texts at sentence level.. Kitamu[r] ... See full document
10
Handling Named Entities and Compound Verbs in Phrase Based Statistical Machine Translation
... NE alignment can boost the performance of PB-SMT system on an Eng- lish—Bangla translation ...matic alignment of NEs by means of translit- eration improves the overall MT performance substantially across ... See full document
9
Creating a massively parallel Bible corpus
... base texts of the Bible from the web- sites without any headings, footnotes or cross-references, retaining capitalization as found in the ...original texts available to us used the quotation mark both for ... See full document
6
Part of Speech Tagging for Middle English through Alignment and Projection of Parallel Diachronic Texts
... constructing word alignment ...of parallel texts has largely gone untapped in NLP ...direct parallel relation, stan- dard NLP methods can be applied with ... See full document
10
Beyond Parallel Data: Joint Word Alignment and Decipherment Improves Machine Translation
... apply Bayesian learning to reduce the space complexity. However, Bayesian decipherment is still very slow with Gibbs sampling (Geman and Geman, ...to Bayesian decipherment. Besides Bayesian ... See full document
9
Bayesian Word Alignment for Statistical Machine Translation
... commentary parallel corpus from the WMT shared task 8 for training, news2008 set for development, news2009 set for testing, and the 438M-word En- glish and ...cluding alignment symmetrization and ... See full document
6
Automatic word alignment tools to scale production of manually aligned parallel texts
... GIZA++ (Och and Ney, 2003) has for several years been the baseline tool against which to compare all advances in word alignment. It implements IBM and HMM models. GIZA++ allows aligning one token from the ... See full document
5
Using Confidence Bands for Parallel Texts Alignment
... of texts provides a set of candidate correspondence points from which we draw a line based on linear ...the word posi- tions in each parallel ...homograph word Patten occurs at word ... See full document
8
Iterative, MT based Sentence Alignment of Parallel Texts
... The corpus poses interesting challenges for Ma- chine Translation. The terminology used in the text is very specific and is translated badly by SMT systems trained on out-of-domain data. In a set of 1000 Text+Berg ... See full document
8
Fast Collocation Based Bayesian HMM Word Alignment
... a Bayesian HMM aligner that does not make use of artificial NULL ...motivated alignment links. Moreover, since our model is a hierarchical Bayesian model we can bias it towards inducing sparse ... See full document
10
Semantic Mapping Using Automatic Word Alignment and Semantic Role Labeling
... To facilitate the application of semantics in statistical machine translation, we propose a broad-coverage predicate-argument struc- ture mapping technique using automated re- sources. Our approach utilizes automatic ... See full document
10
Identifying Word Correspondences in Parallel Texts
... Identifying Word Correspondences in Parallel Texts Identifying Word Correspondences in Parallel Texts W i l l i a m A G a l e K e n n e t h W C h u r c h I A T & T Bell Laboratories M u r r a y Hill,[.] ... See full document
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