Open Source C# Linguistics Software

Virastyar is a free and open-source (FOSS) spell checker. It stands upon the shoulders of many free/libre/open-source (FLOSS) libraries developed for processing low-resource languages, especially Persian and RTL languages Publications: Kashefi, O., Nasri, M., & Kanani, K. (2010). Towards Automatic Persian Spell Checking. SCICT. Kashefi, O., Sharifi, M., & Minaie, B. (2013). A novel string distance metric for ranking Persian respelling suggestions. Natural Language Engineering, 19(2), 259-284. Rasooli, M. S., Kahefi, O., & Minaei-Bidgoli, B. (2011). Effect of adaptive spell checking in Persian. In NLP-KE Contributors: Omid Kashefi Azadeh Zamanifar Masoumeh Mashaiekhi Meisam Pourafzal Reza Refaei Mohammad Hedayati Kamiar Kanani Mehrdad Senobari Sina Iravanin Mohammad Sadegh Rasooli Mohsen Hoseinalizadeh Mitra Nasri Alireza Dehlaghi Fatemeh Ahmadi Neda PourMorteza

MisakaProject is a collection of all projects developed based on MisakaTranslator or its auxiliary functions. If you are interested in adding your own projects of related types to MisakaProject, please contact the author. MisakaPatcher added support for plug-in Chinese patch, so this tool is more suitable for players who like manual translation, and also provides another way for Chinese personnel who have difficulty unpacking packets to release Chinese patch. MisakaHookFinder is suitable for some games where the translator can not be used to directly get the text hook method. Users can search for the hook special code by themselves or directly use it to get the source text. At the same time, it also supports the clipboard to output the original text.

Presage (formerly Soothsayer) is an intelligent predictive text entry system. Presage generates predictions by modelling natural language as a combination of redundant information sources. Presage computes probabilities for words which are most likely to be entered next by merging predictions generated by the different predictive algorithms. Presage's modular and extensible architecture allows its language model to be extended and customized to utilize statistical, syntactic, and semantic predictive algorithms. Presage's predictive capabilities are implemented by predictive plugins. Predictive plugins use services provided by the platform to implement multiple prediction techniques.

This Program helps to translate words and text via Google Translate.

Mansour is a simple application for analyzing digital text written in Arabic.منصور هو تطبيق مكتبي بسيط لتحليل النصوص الرقمية المكتوبة باللغة العربية.

A windows form application to convert Bangla accented English text files into unicode Bangla text files. •Development Tools: Visual C#,MS Dot(.) Net. FrameWork 2.0.

BANAL - Banal And Not A Language. A prototyping notation compatible with Java and C# (via the largest possible common footprint between the two).

Better PO Editor is an editor for .po files, used to generate compiled gettext .mo files which are used by many programs and websites to localize the user interface. It offers great features... It's worth to give it a try! PLEASE NOTE: the project moved to GitHub: see https://github.com/mlocati/betterpoeditor/releases

This project attempts to develop natural language processing routines as applied to a Bible text domain. Many common technologies (e.g., tokenization, Brill POS tagger) are used in conjunction with theoretical paradigms (e.g., hierarchical word definition trees, phrasal concordance).

CRFSharp(aka CRF#) is a .NET(C#) implementation of Conditional Random Fields, an machine learning algorithm for learning from labeled sequences of examples. It is widely used in Natural Language Process (NLP) tasks, for example: word breaker, postagging, named entity recognized, query chunking and so on. CRF#'s mainly algorithm is the same as CRF++ written by Taku Kudo. It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. For example, in machine with 64GB, CRF# encodes model with more than 4.5 hundred million features quickly.

Align parallel corpora on sentence level

Align parallel data at sentence level and also automatic creation of .tmx files for use with Autshumato ITE

A small parser for the Esperanto language, intended as an API for other programs. The blog entry describing this program's function and motivation can be found here: http://coder32768.blogspot.com/2014/04/gort-klaatu-barada-esperanto.html The program takes text in Esperanto, and returns an object graph describing that utterance. The program has expansion points for transforms of this graph, in the spirit of transformational grammars.

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).

Translate Chinese to English using CEDICT (cantonese dictionary). Demonstrate the speed of C# and Linq. Copy the chinese text from any browser/application to Windows clipboard and see the translation.

A collection of Metasyntaxes like EBNF for .Net including a definition file parser and an expression tree.

MinGen is a Minimalist generator, the logical opposite to a parser. MinGen generates syntactically valid sentences by following the rules of Minimalism.

NooJ is used by linguists to describe linguistic phenomena and apply the formalized morphological, syntactic or semantic rules to corpora . It is used by non linguists in fields like psychology, sociology, history, literature studies as well.

NumberTranslation is an example of Windows application for number translation web service access. You can use it in your language translation software.

Dolgoročni cilj projekta Obeliks je izdelava in nadgrajevanje najbolj natančnega statističnega označevalnika za slovenski jezik. Oblikoskladenjsko označevanje je proces pripisovanja oblikoslovnih (in deloma skladenjskih) lastnosti besedam v poljubnem besedilu. Tako označeno besedilo je predpogoj za delovanje večine aplikacij, ki temeljijo na analizi naravnega jezika. Označevanje slovenskih besedil je zelo težak problem, saj mora algoritem za označevanje pravilno izbirati med skoraj dva tisoč oznakami (število različnih oznak za označevanje angleškega besedila je zgolj okoli šestdeset). Izvorna koda je na GitHub-u (glej Wiki). // The aim of the Obeliks project is to develop the most accurate statistical tagger for the Slovene language. Morphosyntactic tagging is the process of categorizing a word in a text into a particular part of speech category and describing it with various morphological features related to that category. The source code is on GitHub (see Wiki).

PC-PATR grammar files are plain text files. This project seeks to define an XML form for these grammar files and convert legacy grammar files to the XML form.

Projekt iz kolegija Prevođenje programskih jezika.

This project is used to segment text into semantic parts by meaning of language model.

This substitution cipher toolkit enables you to en- and decrypt texts with substitution cipher, to gather language statistics of a specific language and to crack encrypted texts both manually and automatically. All functions can be accessed via an easy-to-use graphical user interface.

TengVert is a tool to transcribe text from one alphabet into another, primarily used to convert roman writing into J.R.R. Tolkiens Tengwar script, known as "elfish letters" in Lord of the Rings.