Search Results for "java upload file"
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Showing 15 open source projects for "java upload file"
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Ghawwas_V4
An open source system for Arabic corpora processing
Ghawwas (previously known as Khawas) is an open source system for Arabic corpora processing. Ghawwas V4.0 provides the following main functions: a. Frequency list for single word and N-Grams b. Concordance c. Collocation (MI, CHI Squared, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient) d. Lexical patterns search e. Two corpora frequency profile comparison based on MI, CHI, LL, T-Score, Z Score, Dice, Log Dice, Weirdness Coefficient f. Accept Windows and UTF-8 character... -
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Corpus Toolkit
A text management tool for linguistic purposes...
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HermeneutiX
Your graphical tool for Syntactic/Semantic Structure Analysis of texts
HermeneutiX is a tool for diagramming syntactic and semantic structures of complex (not necessarily foreign-language) texts (e.g. bible or other historical excerpts). HermeneutiX is now part of SciToS (the scientific tool set). Starting with version 2.0.0, HermeneutiX can be found on GitHub. Please check out the release summary: https://github.com/scientific-tool-set/scitos/releases For an introduction, check out this video: https://youtu.be/uQjewyG0Ad8 PS: To run a Java... -
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Musaheb
An Arabic collocation extraction tool
“Musaheb”, an Arabic collocation extraction tool that has been designed and implemented to overcome the limitations of existing collocation extraction tools. “Musaheb” is able to extract n-gram collocations up to 5-gram, in addition to extracting the collocates of the nodes (the word-types we are looking for its collocates) within a window size of zero to 15 words. Moreover, it provides eight collocation statistics to calculate the strength of the collocation, and permits the input of... -
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RoWordNetLib
Java API for the Romanian WordNet
Java API for the Romanian WordNet. Please note that the actual WordNet for Romanian (the XML file containing the network) is not included, it can be obtained (due to its license restrictions) from: http://ws.racai.ro:9191/repository/browse/romanian-wordnet-30/4611a43efb6811e2a8ad00237df3e3580b6b50d1111c4a6292694bded91d5c14/ **** If you would like a direct download of the API containing the RoWordNet xml file, please download them both from : http://www.racai.ro/tools/text/rowordnet/ **** Please cite: Dumitrescu, Ștefan Daniel. ... -
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sgmweka
Weka wrapper for the SGM toolkit for text classification and modeling.
...Has lower time complexity of classification than comparable software due to inference based on sparse model representation and use of an inverted index. The provided .zip file is in the Weka package format, giving access to text classification. Other functions are usable through either Java command-line commands or class inclusion into Java projects. -
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eNTranslator
To aid translation of satsangs of Paramhamsa Nithyananda
To aid translation of satsangs of Paramhamsa Nithyananda. Can be used for general purpose by others as well. This translator desktop app uses google translator to translate English text. The auto generated translations are then enriched with human alternation using an easy graphical user interface. Time stamp information may be synched and a subtitle file or a simple textual output may be generated. Additionally it is planned to use google voice tools to also add voice over from these... -
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Stemmer Gujarati
Offline stemmer for Gujarati , which is one of 22 Indian languages.
...There has been lot of significant work in the development and evaluation of stemmer for non-Indian languages, but very less or no significant work has been done on Indian front especially for Gujarati language.The code of this stemmer is based on algorithm designed under guidance of Prof. Nikita Desai, India. It takes input file of type .txt containing Gujarati text encoded as UTF-8 and then removes stop words which are unessential. After processing rest of the words, it outputs corresponding file containing all stem words plus other details. -
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invertsort
this procect to use invert .text file using java
this procect to use invert .text file using java -
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gannu
Java API and tools for performing NLP and other AI tasks
Java API and tools for performing a wide range of AI tasks such as: word sense disambiguation (released), optimization (5 Evolutionary Algorithms Implemented ETA February 2014), opinion mining (ETA November 2014) and text wikification (ETA July 2014). Gannu includes some graphical interfaces for scientific purposes. When using Gannu please cite: *Jiménez, F. -
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Unsupervised TXT classifier
Classify any two TXT documents, no training required - JAVA
This program is made to address two most common issues with the known classifying algorithms. First, over-training and second, shortage of data for a training of categories. Instead, each TXT file is a category on its own, rather than an assigned category. In a way, this is similar to clustering but not really a clustering algorithm since there is some training involved. The summarizer from Classifier4J has been adjusted to accept two inputs (lets call them A and B). Then, the summarizer... -
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TF-IDF.jar is a Java Archive file to measure TF-IDF of each document in a document collection (corpus). The jar can be used to (a) get all the terms in the corpus (b) get the document frequency (DF) and inverse document frequency (IDF) of all the terms in the corpus (c) get the TF-IDF of each document in the corpus (d) get each term with their frequency (no. of presence), term frequency (TF) and TF-IDF in every document
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OO Pinyin Guide is a Java extension for OpenOffice 3 or higher. It enables the user to add pinyin transliteration over Chinese characters inside a text document. This tool can be useful for people learning or teaching Chinese.
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Want to count the number of syllables in a word? Want to create a random haiku? This Java application can do both. Just add the JAR file to your project for access to these basic classes. We use CMU's pronunciation dictionary to count each syllable.
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Nasira is a Java library for reading text files with non-ASCII characters (e.g. documents in German, Swedish,...). To do so, it automatically determines the character encoding (iso-8859-1, utf-8) used to encode the file through user-provided hints.
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