[PDF] Top 20 Improved Discriminative Bilingual Word Alignment
Has 10000 "Improved Discriminative Bilingual Word Alignment" found on our website. Below are the top 20 most common "Improved Discriminative Bilingual Word Alignment".
Improved Discriminative Bilingual Word Alignment
... of bilingual word-association scores for all linked word pairs, computed as a log likelihood ...the alignment in the order of the source sentence tokens, and noting the instances where the ... See full document
8
Improved Word Alignment Using a Symmetric Lexicon Model
... Word-aligned bilingual corpora are an important knowledge source for many tasks in natural language ...IBM alignment models, as well as the Hidden-Markov alignment model using a symmetric lex- ... See full document
7
Improved Word Alignment with Statistics and Linguistic Heuristics
... The decision how to align such an orphan preposition is not trivial. Consider the bitext is- land of Basilan/jzyrp bAsylAn, a typical (NP1 (P NP2)) construction on the English side. Should we co-align the preposition of ... See full document
9
Soft Syntactic Constraints for Word Alignment through Discriminative Training
... The soft-constrained SD-ITG, which has access to the D-ITG’s invalid spans as a feature during SVM training, is fairing substantially better. Its AER of 0.086 represents a 22% relative error re- duction compared to the ... See full document
8
Multiple Linear Regression for Extracting Phrase Translation Pairs
... for bilingual lexicography, machine translation system, cross- lingual information retrieval and many applications in natural language ...from bilingual sentence ...on word alignment results ... See full document
8
Improved Discriminative ITG Alignment using Hierarchical Phrase Pairs and Semi supervised Training
... single word in one language is not always on a par with a single word in another ...Chinese word "白宫" is equivalent to two words in English ("white ...single word into more than ... See full document
9
Discriminative Word Alignment with a Function Word Reordering Model
... in alignment than in translation? One answer can be attributed to the fact that align- ment points are unobserved in parallel text, thus so are their ...recent alignment models appeal to external linguistic ... See full document
11
A Discriminative Matching Approach to Word Alignment
... On top of these features, we included other kinds of information, such as word-similarity features designed to capture cognate (and ex- act match) information. We added a feature for exact match of words, exact ... See full document
8
A Discriminative Framework for Bilingual Word Alignment
... Next, we used a fixed weight of 1.0 for the word- association feature, which we expect to be most im- portant feature in the model. Allowing all weights to vary allows many equivalent sets of weights that dif- fer ... See full document
8
Discriminative Word Alignment by Linear Modeling
... generative alignment methods based on IBM Model 4 and HMM as baseline systems: (1) C → E, (2) E → C, (3) intersection, (4) union, (5) refined method (Och and Ney 2003), (6) grow-diag-final (Koehn, Och, and Marcu ... See full document
38
Word Alignment with Synonym Regularization
... a word alignment generative ...both bilingual and mono- lingual synonym resources effectively for word ...for bilingual sentences and monolingual syn- onym pairs, which is helpful in ... See full document
5
High Performance Bilingual Text Alignment Using Statistical and Dictionary Information
... Kay and Roscheisen, 1993 proposed a relaxation method to iteratively align bilingual texts using the word correspondences acquired during the alignment process.. Although the method work[r] ... See full document
8
Word Alignment for Languages with Scarce Resources Using Bilingual Corpora of Other Language Pairs
... the word alignment model mainly has three kinds of parameters that must be specified, including the translation prob- ability, the fertility probability, and the distortion ...using bilingual ... See full document
8
Word Clustering Approach to Bilingual Document Alignment (WMT 2016 Shared Task)
... a bilingual word clustering algorithm similar to the one described in Section ...the bilingual input corpus converting each word to its cluster ...the bilingual word clustering ... See full document
5
A Semi Supervised Word Alignment Algorithm with Partial Manual Alignments
... manual alignment links in a maximum en- tropy ...semi-supervised word aligners are proposed (Blunsom and Cohn, 2006; Niehues and Vogel, 2008; Taskar et ...for discriminative models, with the model ... See full document
10
Alignment by Bilingual Generation and Monolingual Derivation
... a word alignment task is the difficulty of handling function words that do not have direct translations which we call unique function ...proposed alignment model uses semantic-head dependency trees ... See full document
16
Joint Word Alignment and Bilingual Named Entity Recognition Using Dual Decomposition
... to bilingual tagging assume word alignments are given as fixed input, which can cause cascading ...correct alignment mis- takes, and present a graphical model that performs bilingual NER ... See full document
10
Flow Network Models for Word Alignment and Terminology Extraction from Bilingual Corpora
... Such an alignment a can be seen as a particular relation from the set of English words with their positions, including e m p t y words, to the set of French words with their positions, i[r] ... See full document
7
A Discriminative Alignment Model for Abbreviation Recognition
... We asked a human annotator to assign refer- ence abbreviation alignments for 1,420 parentheti- cal expressions (instances) in the corpus. If a par- enthetical expression did not introduce an abbre- viation, e.g., “... ... See full document
8
Topic Models + Word Alignment = A Flexible Framework for Extracting Bilingual Dictionary from Comparable Corpus
... with seminal works of (Rapp, 1995; Fung and Lo, 1998). The main idea is to assume that translation pairs have similar contexts, i.e. the distributional hypothesis, so extraction consists of 3 steps: (1) identify context ... See full document
10
Related subjects