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Hits 3.821 – 3.840 of 3.840
3821 |
Arabic to English Machine Translation of Verb Phrases Using Rule-Based Approach
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In: http://thescipub.com/PDF/jcssp.2012.277.286.pdf
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3822 |
Developing Partially-Transcribed Speech Corpus from Edited Transcriptions
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In: http://www.lrec-conf.org/proceedings/lrec2012/pdf/987_Paper.pdf
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3823 |
RECENT ADVANCES IN ROMANIAN LANGUAGE TEXT-TO-SPEECH SYNTHESIS
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In: http://www.acad.ro/sectii2002/proceedings/doc2010-1/13-Burileanu.pdf
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3824 |
ABSTRACT A TURKISH AUTOMATIC TEXT SUMMARIZATION SYSTEM
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In: http://www.geocities.com/altanzeynep/411-112.pdf
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Abstract:
The system developed in this study uses a Turkish text as input, and after the implementation of a sequence of procedures the summary results accomplishing the target sentence length. The study has been specialized to obtain more significant results for the articles on economic matters. We converted the context of all papers into HTML documents to provide the formal structures. The training system comprehends a corpus including 50 different articles. Moreover, it is possible to add the summarized document to the corpus in case of demand. The choice of the summarization percentage has been made by the user. We have utilized the Internet both for the development environment of the system and its running platform. The program interface runs on the Web through browsers. This study principally depends on the statistical analysis of the paragraphs, sentences and words in the document according to predefined specific weighting factors. Although these weight points determine the skeleton of summary, the sentences for the summarization are primarily chosen to emphasize the semantic integrity.
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Keyword:
Corpus; Frequency; KEY WORDS Natural Language Processing; Text Summarization
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URL: http://www.geocities.com/altanzeynep/411-112.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.3403
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3825 |
Effective Sentiment Analysis of Social Media Datasets using Naive Bayesian Classification
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In: http://research.ijcaonline.org/volume99/number13/pxc3898274.pdf
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3826 |
©IJEERT www.ijeert.org 51 Sentiment Analysis Based on Dictionary Approach
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In: http://www.ijeert.org/pdf/v3-i1/9.pdf
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3827 |
Report on KDD Conference 2004 Panel Discussion Can Natural Language Processing Help Text Mining?
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In: http://www.sigkdd.org/explorations/issues/6-2-2004-12/nlpPanelKao.pdf
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3828 |
Merging Changes in XML Documents Using Reliable Context Fingerprints
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In: http://csis.pace.edu/~marchese/CS835/Student_Readings/p52-ronnau.pdf
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3829 |
Web Service Programming for Biological Text Mining
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In: http://lair.indiana.edu/sigirbio/final/ghanem.pdf
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3830 |
Experiments in CLIR Using Fuzzy String Search Based on Surface Similarity
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In: http://ltrc.iiit.ac.in/anil/papers/pp237-subramaniam.pdf
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3831 |
Modeling Click-through Based Word-pairs for Web Search
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In: http://research.microsoft.com/en-us/um/people/jfgao/paper/2013/sigirfp436-Jagarlamudi.pdf
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3832 |
Mining Entity Translations from Comparable Corpora: A Holistic Graph Mapping Approach
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In: http://www.postech.ac.kr/~swhwang/CIKM11a.pdf
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3833 |
On-line Reference Assignment for Anaphoric and Non-Anaphoric Nouns: A Unified, Memory-Based Model in ACT-R
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In: http://act-r.psy.cmu.edu/papers/760/p1403.pdf
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3834 |
Converting English text to speech : a machine learning approach
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3835 |
Deep Learning with Constraints for Answer-Agnostic Question Generation in Legal Text Understanding
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3836 |
Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.
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3837 |
Muak Sa-aak: Challenges of an Extensive Phoneme Inventory for a Contained Latin-Based Orthography
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3839 |
Exploring neural paraphrasing to improve fluency of rule-based generation
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3840 |
Documentation of P clue/ lexical class from Weka computer Web Service
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