[PDF] Top 20 Augmenting Pivot based SMT with word segmentation
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Augmenting Pivot based SMT with word segmentation
... is based on combined use of pivot strategies for Statistical Machine Translation (SMT) and word segmenta- tion ...that word segmentation of source language as well as ... See full document
5
Improving Alignment for SMT by Reordering and Augmenting the Training Corpus
... the word align- ment: (i) by applying Giza++ in a sec- ond phase to a reordered training cor- pus, where reordering is based on the alignments from the first phase, and (ii) by adding lexical data obtained ... See full document
5
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints
... build segmentation models for SMT based on bilingual unsegment- ed data, instead of monolingual segmented ...golden-standard segmentation supervi- sions for training a bilingual unsupervised ... See full document
10
Utilizing Lexical Similarity between Related, Low resource Languages for Pivot based SMT
... and pivot-based SMT in low re- source ...a pivot language related to both the source and target languages along with subword-level translation (i) significantly outper- forms morpheme and ... See full document
7
Empirical Study of Unsupervised Chinese Word Segmentation Methods for SMT on Large scale Corpora
... or PYP-based bilingual UWS. However, VB re- quires formulating the m expectations of (m − 1)- dimensional marginal distributions, where m is the number of hidden variables. For UWS, the hidden variables are ... See full document
7
Leveraging Small Multilingual Corpora for SMT Using Many Pivot Languages
... Phrase Based SMT ...for word alignment, phrase table extrac- tion and decoding for sentence ...2003) based tuning using the MIRA ...in Pivot Languages Set; the set of ... See full document
11
Character Cluster Based Segmentation using Monolingual and Bilingual Information for Statistical Machine Translation
... with SMT translation quality in terms of BLEU score ...data based on ...design based on word and not based on ...other SMT system still require running BLEU score based on ... See full document
8
Integration of Multiple Bilingually Learned Segmentation Schemes into Statistical Machine Translation
... a word segmentation suitable for ...Chinese word segmentation (CWS) for Chinese-to-English ...new word types and word distributions suit- able for ...programming- based ... See full document
9
Triangulation of Reordering Tables: An Advancement Over Phrase Table Triangulation in Pivot Based SMT
... of pivot languages for extracting better word alignments when a source- target parallel corpus is either unavailable or is very small in ...a pivot based approach and triangulation of phrase ... See full document
9
Word Alignment Combination over Multiple Word Segmentation
... time-consuming segmentation optimi- zation based on alignment or postponing segmenta- tion combination late till SMT decoding phase, we try to combine word alignments over multiple ... See full document
5
Dialect Translation: Integrating Bayesian Co segmentation Models with Pivot based SMT
... of pivot languages in order to overcome re- source limitations for certain language ...approaches based on Bayesian co-segmentation (BCS) models with pivot-based SMT ...standard ... See full document
9
The Impact of Word Segmentation on CCG based Arabic English SMT
... superficial segmentation, but does not exploit the syntactic ...Arabic word in the pre-processing step and integrating CCG supertags into the English target side as a factor; whereas in their case, the ... See full document
5
An Double Hidden HMM and an CRF for Segmentation Tasks with Pinyin’s Finals
... With the rapid growth of structural learning algorithms, such as conditional random fields (CRFs) (Lafferty et al., 2001) and maximum- margin Markov models (M 3 N) (Taskar et al., 2003) have received a great attention ... See full document
6
Word Spotting In Scanned Images Of Printed Devanagri Documents
... Devanagari orthography. The continuous top line is a later development. In old manuscripts, copper plates and inscriptions the top line was limited to the character only and did not join the next letter. The top line ... See full document
5
Chinese Segmentation with a Word Based Perceptron Algorithm
... a word-based CWS model using the discriminative perceptron learning ...character- based tagging models, and allows word information to be used as ...search- based discriminative ... See full document
8
Modeling Inflection and Word Formation in SMT
... We have directly addressed the question as to whether inflection should be predicted using sur- face forms as the target of the prediction, or whether linguistic features should be predicted, along with the use of a ... See full document
11
Transition Based Neural Word Segmentation
... We followed the global learning and beam- search framework of Zhang and Clark (2011) in building a word-based neural segmentor. The main difference between our model and that of Zhang and Clark (2011) is ... See full document
11
A compression based algorithm for Chinese word segmentation
... To infer word boundaries, a general adaptive text compression technique is used that predicts upcoming characters on the basis of their preceding context.. Spaces are inserted into posit[r] ... See full document
20
Which Performs Better on In Vocabulary Word Segmentation: Based on Word or Character?
... IV word while keep the CT tags of those contained in OOV words unchanged, we will improve the final result according to our error analysis in Table ...IV word, just as what we do to get Table ... See full document
8
Redundancy Detection in ESL Writings
... which word represents what mean- ing helps in evaluating its ...a word does not connote any significant meaning, deleting it would not affect the overall sentence; if several words express the same mean- ... See full document
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