Search Results for "aa-analyzer"

RHINO parses Korean words by morpheme and part-of-speech. Its dictionaries are based on Korean Modern Tagged Corpus(12 million phrases scale) which was made by Korean government. So it analyses many cases of stems and endings. And the newly developed Dynamic Dictionary Technology can make words to react with their context. That is, a programmed database. For more information see the files in the help folder.

Text editor in Java that is able to detect discriminative expressions while the user is typing. When the internal ontology-based analyzer detects a potential discriminative expression the user is advised by underscoring the related words in the text. A descriptive message about the issue is also shown to the user when the cursor is placed over the potential discriminative expression.

Analyzes text document using TF-IDF and optionally stopword list, and extracts important keywords.

Using rules written in a Drools decision table, BuckTagger determines the correct Buckwalter Tag based on morphological properties of the input, automatically extracted or given by the user. At the moment, BuckTagger is not complete; it can only handle input that is: - Uninflected - In lexical form, i.e., no clitics or affixes. - A Perfect or Imperfect Verb - Preferably the first and before-last letters are diacritized/vocalized. The interface is in Arabic. See the README for...

EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.

HanNanum is a Korean Morphological Analyzer and POS Tagger. A plug-in component-based architecture is adapted to the new Java version for flexible use. You can find the work flow for morphological analysis, POS tagging, noun extraction, etc. Contact: kschoi@kaist.ac.kr hjjeong@world.kaist.ac.kr

A lyrical analysis and classification tool focused specifically on rhyming style in rap lyrics. Functions include phonetic transcription, rhyme visualization, and rapper classification.

Making Hebrew properly searchable by IR software. Right now, most work is being done in our mailing list (planning), and on our github repository (concept code, see below).