[PDF] Top 20 Query Translation by Text Categorization
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Query Translation by Text Categorization
... a query expressed in the second language, the most relevant documents in the translated subset are extracted (usually using a cosine measure of ...glish text documents the closest document re- turned by the ... See full document
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The Amalgamation of NLP with Text Categorization
... ABSTRACT: Text Mining (TM) and Natural Language Processing (NLP) are very closely related to each ...like Text Clustering, Text Summarizing, Text Categorizing, ...Structured Query ... See full document
6
Neural Discourse Structure for Text Categorization
... mance of the discourse parser (x-axis). Unsurpris- ingly, lower parsing performance implies lower classification accuracy. Notably, if the RST dis- course treebank were reduced to 25% of its size, our method would ... See full document
10
Concept Space Derivation and its Application in Query Categorization
... Automatic text categorization (also known as text classification or topic spotting) is the activity of labeling natural language texts with thematic categories from a predefined ...the text ... See full document
9
Cross-lingual Information Retrieval
... at Text Retrieval Conference (TREC) only up to the year 2000 but it is still being studied in both CLEF and ...of query and document translation, challenges in cross-lingual IR and current approaches ... See full document
5
Linguistic Structured Sparsity in Text Categorization
... Another type of structure to consider is topics. For example, if we want to predict whether a pa- per will be cited or not (Yogatama et al., 2011), the model can perform better if it knows before- hand the collections of ... See full document
11
Term Categorization Using Latent Semantic Analysis for Intelligent Query Processing
... in Text Mining is the grouping of texts, ...of Text Clustering by replacing the original matrix in the latent semantic analysis with concept - text ...the text based on the frequency of words ... See full document
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Query Lattice for Translation Retrieval
... 3. Query Lattice in Information ...because translation retrieval must take structure and dependencies in text into account to ensure translational ... See full document
11
Improving Search Engine Results by Query Extension and Categorization
... Expanding query words by employing a thesaurus [36, 58] or by extracting a conceptual frame for the query [30]; 2) re- trieving Web pages by using fuzzy logic or soft computing techniques [63]; 3) using ... See full document
95
Text Mining Research: A Survey
... Mining, Text Mining, Sequence Mining, Graph Mining, Temporal Data Mining, Spatial Data Mining (SDM), Distributed Data Mining (DDM) and Multimedia ...the text mining techniques and its applications. ... See full document
8
Design of English-Hindi Translation Memory for Efficient Translation
... Universal Terminology Exchange (UTX) is a standard being developed by Asia Pacific Machine Translation Association (AAMT). The standard was required because, at times it was felt that the standard being formulated ... See full document
5
Text Categorization via Ellipsoid Separation
... In order to solve this problem we need to look for some subspace of the bag-of-words vector representation of the text documents. This subspace must have much lower dimensionality while preserving the ellipsoid ... See full document
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A Survey on Sentiment Based Text Categorization
... After data preprocessing the feature selection process is involved for recovering small but significant contents. These contents or features are help to identify the emotions of the author or mood of author for sentiment ... See full document
5
Text Categorization as a Graph Classification Problem
... Because the total number of unique node la- bels corresponds to the number of unique terms in the collection in our case, graph kernels are not suitable for us as verified in practice using the MATLAB code made available ... See full document
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Text Categorization using Feature Projections
... of text categorization is to classify documents into a certain number of pre-defined ...categories. Text categorization is an active research area in information retrieval and machine ... See full document
7
Scalable Term Selection for Text Categorization
... The classifiers used in this study are support vector machines (Joachims, 1998; Gabrilovich and Markovitch, 2004; Chang and Lin, 2001). The ker- nel type is set to linear, which is fast and enough for text ... See full document
9
Automatic Text Categorization by Unsupervised Learning
... automatic text categorization has diversified from newswire articles and web pages to electronic mails and newsgroup postings, it is a difficult task to create training data for each application area (Nigam ... See full document
7
Joining Statistics with NLP for Text Categorization
... The key to getting good recall and precision on texts such as these is to consider the weights of the individual words and phrases to determine what industries could be involved, but to [r] ... See full document
8
A Prototype of Speech Interface Baed on Google Cloud Platform to Access a Semantic Website
... to query and retrieve, by voice, information from website building with the Semantic Web ...speech query and converts it into text, it processes the text through a java program and identifies ... See full document
14
Is query translation a distinct task from search?
... Although iCLEF did not require to have a running CLIR system behind the interface, the University of Sheffield decided to conduct the test under conditions that resembled a “natural setting” as much as possible. Thus the ... See full document
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