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SRILM
- Referenced in 30 articles
[sw09928]
- language model types based on N-gram statistics, as well as several related tasks, such...
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Rouge
- Referenced in 19 articles
[sw15452]
- number of overlapping units such as n-gram, word sequences, and word pairs between...
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Swoogle
- Referenced in 14 articles
[sw25441]
- system which can use either character N-Gram or URIrefs as keywords to find relevant...
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Julius
- Referenced in 5 articles
[sw21656]
- researchers and developers. Based on word N-gram and context-dependent HMM, it can perform ... word-pair context approximation, rank/score pruning, N-gram factoring, cross-word context dependency handling, enveloped...
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textcat
- Referenced in 2 articles
[sw07329]
- textcat Package for n-Gram Based Text Categorization in R. Identifying the language used will ... text categorization based on character n-gram frequencies have been particularly successful. This paper presents ... extension package textcat for n-gram based text categorization which implements both the Cavnar ... approach as well as a reduced n-gram approach designed to remove redundancies...
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Bugram
- Referenced in 1 article
[sw40141]
- Bugram: bug detection with n-gram language models. To improve software reliability, many rule-based ... approach—Bugram—that leverages n-gram language models instead of rules to detect bugs. Bugram ... models program tokens sequentially, using the n-gram language model. Token sequences from the program...
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ProphetNet
- Referenced in 1 article
[sw35776]
- ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training. This paper presents ... novel self-supervised objective named future n-gram prediction and the proposed n-stream self ... optimized by n-step ahead prediction that predicts the next n tokens simultaneously based ... each time step. The future n-gram prediction explicitly encourages the model to plan...
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tokenizers
- Referenced in 1 article
[sw16425]
- stringi’ package. Includes tokenizers for shingled n-grams, skip n-grams, words, word stems, sentences...
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SummaryEvaluation
- Referenced in 2 articles
[sw33890]
- SummaryEvaluation using n-gram graphs. This project utilizes the JInsect toolkit to implement three automatic...
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corpus
- Referenced in 2 articles
[sw30858]
- computing term occurrence frequencies, including n-grams...
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DKPro Similarity
- Referenced in 2 articles
[sw16551]
- ranging from ones based on simple n-grams and common subsequences to high-dimensional vector...
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PPDB
- Referenced in 2 articles
[sw33749]
- scores computed from the Google n-grams and the Annotated Gigaword corpus. Our re- lease...
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Sally
- Referenced in 2 articles
[sw08470]
- string features, such as words or n-grams of words. The implementation of Sally builds...
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Rishi
- Referenced in 2 articles
[sw21756]
- uncommon server ports. By using n-gram analysis and a scoring system, we are able...
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chrF
- Referenced in 1 article
[sw36203]
- chrF: character n-gram F-score for automatic MT evaluation. We propose ... character n-gram F-score for automatic evaluation of ma- chine translation output. Character...
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Charagram
- Referenced in 1 article
[sw26535]
- Embedding Words and Sentences via Character n-grams. We present Charagram embeddings, a simple approach ... sentence is represented using a character n-gram count vector, followed by a single nonlinear...
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textreg
- Referenced in 1 article
[sw35678]
- package textreg: n-Gram Text Regression, aka Concise Comparative Summarization. Function for sparse regression...
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libTextCat
- Referenced in 1 article
[sw24541]
- classification technique described in Cavnar & Trenkle, ”N-Gram-Based Text Categorization” [1]. It was primarily ... list of the most frequent n-grams occurring in a document, ordered by frequency. Fingerprints...
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Pattern
- Referenced in 1 article
[sw08487]
- parser), natural language processing (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (vector space...
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DAFSA
- Referenced in 1 article
[sw32807]
- sequences (typically character strings or n-grams) in the form of a directed acyclic graph...