[PDF] Top 20 Graph Based Word Alignment for Clinical Language Evaluation
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Graph Based Word Alignment for Clinical Language Evaluation
... natural language processing algorithms has been the analysis of spoken language data for diagnostic and remedial purposes, fueled by the demand for simple, objective, and unobtrusive screening tools for ... See full document
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Graph Based Induction of Word Senses in Croatian
... Croatian language. We adopt the word clustering approach based on co-occurrence graphs, in which senses are taken to correspond to strongly inter-connected components of co-occurring ...of ... See full document
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Word Alignment Based Parallel Corpora Evaluation and Cleaning Using Machine Learning Techniques
... Corpus cleaning in practice has often been limited to applying a set of handwritten rules (regular expressions) to detect blatantly obvious cases where two sentences are not parallel (Rueppel et al., 2011; Ruopp, 2010; ... See full document
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Annotated Corpora for Word Alignment between Japanese and English and its Evaluation with MAP-based Word Aligner
... for word alignment between Japanese and English since such cor- pora do not ...many language pairs due to the cost of annotation for word ...on word align- ment may not lead to the ... See full document
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Online Reviews Based on the Word Alignment Model
... a word alignment ...methods based on nearest neighbor rules and syntactic patterns, in using a word alignment model, our method captures opinion relations more precisely and therefore ... See full document
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Graph based alignment of narratives for automated neurological assessment
... spoken language transcripts in order to identify characteristics of lan- guage use associated with a particular ...a word or short phrase in the source ...an alignment be- tween substrings in the ... See full document
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Building a Golden Collection of Parallel Multi-Language Word Alignment
... their language pairs (PT-EN, PT-ES, PT-FR, ES-FR), one for an existing language but a different domain (EN-FR), the Europarl corpus, since the existing and freely available ones are based on the ... See full document
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A Resource Free Evaluation Metric for Cross Lingual Word Embeddings Based on Graph Modularity
... Cross-lingual word embeddings encode the meaning of words from different languages into a shared low-dimensional ...that word similarity should be indepen- dent of language—i.e., word vectors ... See full document
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A Novel Graph based Compact Representation of Word Alignment
... 4-gram language model on the Xinhua portion of the GIGAWORD corpus using the SRI Language Toolkit (Stolcke, 2002) with modified Kneser-Ney Smoothing (Kneser and Ney, ...For evaluation, case- ... See full document
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Dijkstra WSA: A Graph Based Approach to Word Sense Alignment
... a graph- based method to tackle the related, but slightly dif- ferent problem of aligning WN synsets and WP cat- egories (not ...a graph structure is built from WN se- mantic relations covering all ... See full document
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Automatic Keyphrase Extraction by Bridging Vocabulary Gap
... For WAM, we only show the results using title-based pairs prepared with split method. From the table, we have three observations: (1) WAM outperforms other methods on keyphrase generation. Moreover, there are ... See full document
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The QT21/HimL Combined Machine Translation System
... of word or- ...includes word penalty, 3-gram language model trained on the input hypotheses, a binary primary system feature that marks the pri- mary hypothesis, and a binary voting feature for each ... See full document
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Improved Reconstruction of Protolanguage Word Forms
... Figure 6 shows the results of a concrete run over 32 languages, zooming in to a pair of the Solomonic languages and the cognate set from Table 1. In the example shown, the reconstruction is as good as the oracle, though ... See full document
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HMM Based Word Alignment in Statistical Translation
... HMM Based Word Alignment in Statistical Translation H M M B a s e d W o r d A l i g n m e n t in S t a t i s t i c a l T r a n s l a t i o n S t e p h a n V o g e l H e r m a n n N e y C h r i s t o p[.] ... See full document
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Sampling based Alignment and Hierarchical Sub sentential Alignment in Chinese–Japanese Translation of Patents
... 1993) and HMM alignment models (Vogel et al., 1996), which are typical implementation of the EM algorithm (Dempster et al., 1977), are the most widely used representatives in this category. GIZA++ (Och and Ney, ... See full document
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Tools for Digital Humanities: Enabling Access to the Old Occitan Romance of Flamenca
... same language, Old and Modern ...target language specific or introduced via the translation from the source lan- ...in word order in the Old High German translation of the Bible and its original ... See full document
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Using Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph based Word Sense Induction
... a graph. Initially, every node in the graph starts as a member of its own class; then, at each iteration every node assumes the prevalent class among those of its neighbours, measured by the weights on the ... See full document
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Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions
... 866 Word Alignment for Languages with Scarce Resources Using Bilingual Corpora of Other Language Pairs Haifeng Wang, Hua Wu and Zhanyi Liu.. 874 Combining Statistical and Knowledge-Based[r] ... See full document
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Bilingual Lexicon Extraction via Pivot Language and Word Alignment Tool
... less-known language pairs. To do this, we bring in a bridge language named the pivot language and adopt information retrieval techniques combined with natural language processing ...available ... See full document
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Word to word alignment strategies
... items based on cer- tain features such as parts of ...cal alignment models ...certain word classes with respect to the translational association of words belonging to these classes is one example of ... See full document
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