Amharic Named Entity Recognition System Using Statistical Method.

      Аннотация: Named Entity Recognition is a subtask of information extraction and involves processing structured and unstructured documents and identifying expressions that refer to peoples, places, organizations, time and measurement values etc. Amharic is an official working language of Ethiopia and it is widely spoken throughout the country as a first and a second language. It is a Semitic language related to Hebrew, Arabic, and Aramaic etc. It uses a unique script called “fidel” which is conveniently written in a tabular format of seven columns. e.g ? ? ? ? ? ? ?, sentence:- ??? ??? ??? ???? ???? ??? ???? ??::

Ключевые слова: Conditional Random Fields, Named Entities, Named Entity Recognition, statistical approach, Amharic Named Entity Recognition.