[PDF] Top 20 Regularizing Mono and Bi Word Models for Word Alignment
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Regularizing Mono and Bi Word Models for Word Alignment
... Such models are known to have weaknesses called garbage collection. This refers to the phe- nomenon that rarely occurring source words tend to align to a significant portion of the target words in the respective ... See full document
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Extentions to HMM based Statistical Word Alignment Models
... Null word has proven ...keep models from aligning everything to Null or to keep them from aligning nothing to Null (Och and Ney, ...next word in the target language by a mixture ...target word ... See full document
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Multiple Word Alignment with Profile Hidden Markov Models
... a word to the correct cognate set from a list of cognate sets with the same meaning as the given word, similar to the evaluation of a biologi- cal sequence for membership in a ...one word at a time ... See full document
6
Multi Word Expression Sensitive Word Alignment
... partial alignment annotation for word ...IBM Models 3 and ...tial alignment into word alignment, 1 which is in a similar manner to Graca et ...partial alignment anno- ... See full document
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Bootstrapping Word Alignment via Word Packing
... Chinese word may surface as a com- pound or a collocation in ...IBM word- alignment model 4 (Brown et ...ric models produce 1-to-n alignments, with n ≥ 0, in both ...bilingual alignment ... See full document
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Improving Word Alignment using Word Similarity
... first branch relies solely on the parallel data; how- ever, additional assumptions about the data are re- quired. This includes, but is not limited to, ap- plying prior distributions (Mermer and Sarac¸lar, 2011; Vaswani ... See full document
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Improving Word Alignment of Rare Words with Word Embeddings
... finding word alignments over a sentence-aligned bilingual corpus (Brown et ...find word alignment, uses a generative translation model that produces a sentence in one language given the sentence in ... See full document
7
Word Alignment Combination over Multiple Word Segmentation
... new word alignment combination approach on language pairs where one language has no explicit word ...combining word alignments of dif- ferent models (Xiang et ...combine word ... See full document
5
Learning Tractable Word Alignment Models with Complex Constraints
... HMM word alignment model (Vogel, Ney, and Tillmann 1996), using a novel unsupervised learning framework that significantly boosts its ...one word should not translate to many words; and (ii) symmetry: ... See full document
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Discriminative Word Alignment with a Function Word Reordering Model
... In this paper, we introduce a new approach to im- proving the modeling of reordering in alignment. In- stead of relying on monolingual parses, we condi- tion our reordering model on the behavior of func- tion ... See full document
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Improving Word Alignment Models using Structured Monolingual Corpora
... [r] ... See full document
8
Word Alignment with Synonym Regularization
... a word alignment generative ...and mono- lingual synonym resources effectively for word ...of word sense disambiguation. Our proposed method im- proved word alignment ... See full document
5
Confidence Measure for Word Alignment
... with word alignment. The qual- ity of the parallel data and the word alignment have significant impacts on the learned transla- tion models and ultimately the quality of transla- tion ... See full document
9
Data Cleaning for Word Alignment
... of word alignment will cause problems if we encounter n : m mapping objects, such as a paraphrase, non- literal translation, or multiword ...a mono- lingual ...of word alignment are ... See full document
9
On Complex Word Alignment Configurations
... A word alignment represents translational equivalence of words or phrases in a sentence pair (or paragraph pair) by a set of links between source and target ...translation models are commonly learned ... See full document
8
Smaller Alignment Models for Better Translations: Unsupervised Word Alignment with the l0 norm
... Automatic word alignment is a vital component of nearly all current statistical translation ...translation models use rules that operate on units bigger than words (like phrases or tree fragments), ... See full document
9
Guiding Statistical Word Alignment Models With Prior Knowledge
... target word rather than directly from a t- table, consider the hidden tag as binary value in- dicating being a name or ...and word alignments can be chosen randomly without sufficient statistics or strong ... See full document
8
Word to word alignment strategies
... cal alignment models (e.g. IBM models from statistical machine translation (Brown et ...certain word classes with respect to the translational association of words belonging to these classes ... See full document
7
Log Linear Models for Word Alignment
... Log-linear models, which are very suitable to in- corporate additional dependencies, have been suc- cessfully applied to statistical machine translation (Och and Ney, ...for word alignment based on ... See full document
8
BiTAM: Bilingual Topic AdMixture Models for Word Alignment
... where p(F|E) is a document-level translation model, generating the document F as one entity. In a BiTAM model, a document-pair (F, E) is treated as an admixture of topics, which is induced by random draws of a topic, ... See full document
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