Search Results for "e-root"

The main purpose of this tool is to help users in extracting syntagmatic relations between words, lemmas and roots available in the Quran; these relations include identifying significant collocates and words’ co-occurrences. In addition, the tool also provides other helpful functionalities that complement the primary purpose, which include a Key Word In Context (KWIC) concordance, in addition to frequency lists of all words, lemmas and roots in the holy Quran. The main intended users of this...

...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 encoding g. Accept TXT, DOC, DOCX, RTF and HTML formats h. Export the processing results in CSV file format

...The WNLT project delivers four core NLP modules; a) Word Segmentation for separating text into words b) Sentence Boundary Disambiguation for finding sentence boundaries c) Part of Speech Tagger for determining the part of speech of each word d) Morphological Analyser for identifying the root form (lemma) of words. The modules are written in JAVA and ‘wrapped’ for execution under the General Architecture for Text Engineering (GATE) framework. The project also includes CYMRIE an adapted version for Welsh of the GATE - ANNIE Named Entity Recognition (NER) application for a range of entities such as Persons, Organisations, Locations, and date and time expressions. ...

Marcion is a software forming a study environment of ancient languages (esp. Coptic, Greek, Latin) and providing many tools and resources (dictionaties, grammars, texts). Although Marcion is focused on to study the gnosticism and early christianity, it is an universal library working with various file formats and allowing to collect, organize and backup texts of any kind. Overview of gnostic sources in Coptic language delivered with Marcion: Nag Hammadi Library; Berlin Codex; Codex...

Hebrew Deflector tries to guess the root, the pattern and the form of a modern Hebrew word provided by the user. It uses the existing rules of the language to do that, and displays the list of possible answers. It is not a dictionary and it doesn't know whether the word (and the listed forms of it) exists or not. It also doesn't know anything about exception to the rules.

...The WNLT project delivers four core NLP modules; a) Word Segmentation for separating text into words b) Sentence Boundary Disambiguation for finding sentence boundaries c) Part of Speech Tagger for determining the part of speech of each word d) Morphological Analyser for identifying the root form (lemma) of words. The modules are written in JAVA and ‘wrapped’ for execution under the General Architecture for Text Engineering (GATE) framework. The project also includes CYMRIE an adapted version for Welsh of the GATE - ANNIE Named Entity Recognition (NER) application for a range of entities such as Persons, Organisations, Locations, and date and time expressions.

...Sus principales características son: Más DE 87.000 lemas y sus respectivas conjugaciones. Contiene el Lemario actualizado de RAE (Real Academia Española) Términos financieros e informáticos aceptados por RAE Nombres de Países, sus abreviaciones y capitales Contiene el Lemario actualizado NoRAE (Que no se encuentran en la Real Academia Española y son muy utilizados) Nombres de la División Político Territorial Venezolana(Estados, Municipios y Parroquias) Nombres de las capitales de Estados y sus

Using Machine Learning, AraRooter finds the three-lettered root of any Arabic lemma with around 84% accuracy.