[PDF] Top 20 Improving Word Alignment of Rare Words with Word Embeddings
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Improving Word Alignment of Rare Words with Word Embeddings
... The language pair used for all the experiments is English-French. The test set is a word-aligned bilingual corpus that contains 447 sentence pairs (Och and Ney, 2000b). Using larger data sets can result in better ... See full document
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Learning Better Embeddings for Rare Words Using Distributional Representations
... a word as a sum of embedding vec- tors of its ...by improving the embeddings of rare ...dress word embedding ...all word embeddings with the ... See full document
6
Sub Word Similarity based Search for Embeddings: Inducing Rare Word Embeddings for Word Similarity Tasks and Language Modelling
... and word similarity tasks that we used in our experiments are shown in Table 1 and Table ...of rare words, we also report the number of words for which the embeddings were not found ... See full document
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Improving Cross Domain Chinese Word Segmentation with Word Embeddings
... get word w to reduce training time and to improve the quality of embeddings of rare words (Mikolov et ...all words is expected to obey Zipf’s law: a word’s frequency is inversely ... See full document
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Querying Word Embeddings for Similarity and Relatedness
... significant at p < 0.001). Results on models with dim=300 and win=3/6/10 are reported (see Ap- pendix for supplementary results). The WW mea- sure exhibits consistently a better alignment with the human rating ... See full document
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WAGS: A Beautiful English Italian Benchmark Supporting Word Alignment Evaluation on Rare Words
... Once the double annotation was collected for the whole dataset, we adopted the following strategy to produce the final gold standard alignment. First, an additional adjudi- cation phase was carried out by a third ... See full document
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Improving Word Alignment with Bridge Languages
... 9 alignment mod- els are trained on nearly the same set of sentences ...57.5M words in English). This makes the alignment models in all bridge languages ...Ar-En alignment model is trained ... See full document
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Improving Word Embeddings Using Kernel PCA
... of words and relations between them, particularly well when trained with large text collections; however, they fail to do so with small ...use word embeddings gener- ated using both word2vec and ... See full document
9
Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task
... an alignment across languages to comple- ment elided content in labels ...gual alignment process, we conducted a small experiment utilizing cross-lingual ...other words, for each GICS element we ... See full document
7
Better Word Representations with Recursive Neural Networks for Morphology
... better word representa- ...syntactic-semantic word vectors in a unique ...of words, ...of rare and complex words and a more principled way of han- dling unseen words, whose ... See full document
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Improving IBM Word Alignment Model 1
... the word translation probabilities of Model 1 are a case where there is no clearly better alternative to a uni- form distribution as the smoothing ...rarest words, and smoothing with a unigram dis- ... See full document
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Improving Statistical Word Alignment with Ensemble Methods
... statistical word alignment model [3]. This model only allows word to word and multi-word to word ...form word alignment in two directions (source to target and ... See full document
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Improving Word Alignment by Semi Supervised Ensemble
... actually divides the original labeled set into three parts. This strategy ensures that initial classifiers are trained using different sets of instances and maximizes the diversity between classifiers. We will compare ... See full document
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Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words
... (SMT) alignment method - IBM Model 4 with HMM alignment implemented in Giza++ (Och and Ney, ...opposite words, the words that appear in the sarcastic messages were consider our target ... See full document
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Context Aware Cross Lingual Mapping
... While word vector spaces tend to be globally consistent across language variations (Aldarmaki et ...individual words like homographs with unrelated senses ...such words in the alignment ... See full document
6
Improving Word Alignment by Adjusting Chinese Word Segmentation
... Chinese word alignment tasks often adopt word segmentation systems firstly to identify ...However, word-mismatching problems exist between languages and will degrade the performance of ... See full document
8
Improving Word Alignment using Word Similarity
... on word alignment problems uses morphosyntactic-semantic features, for ex- ample, word stems, content words, orthography (De Gispert et ... See full document
6
GlobalTrait: Personality Alignment of Multilingual Word Embeddings
... that words having a similar semantic meaning in different lan- guages do not necessarily correspond to the same person- ality ...personality alignment method, GlobalTrait, which has a mapping for each trait ... See full document
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En Ar Bilingual Word Embeddings without Word Alignment: Factors Effects
... 3K words by extracting the most common words in the training ...extracted words have been translated word by word translation us- ing Google translator ( In line with common prac- tice ... See full document
11
Word Alignment without NULL Words
... A limitation of our model is that it is only ca- pable of modelling left-to-right linear dependen- cies in the source language. In languages like Ger- man or English, however, where an adjective or determiner is selected ... See full document
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