A Neural Network Based Morphological Analyser of the Natural Language

نویسندگان

  • Piotr Jedrzejowicz
  • Jakub Strychowski
چکیده

The paper proposes a morphological analyser supported by a neural network to in ect words written in Polish. The approach can be also applied to other languages. The main task of the analyser is to create base forms from the analysed words' forms. Other objective is to provide grammatical information for the analysed form. Computational experiment results con rm that both objectives are ful lled by the proposed neural network based morphological analyser. The common words are in ected with a very high quality of nearly 99.9%. Other words like geographical names and people's names, thanks to the incorporation of neural network, in ect with a quality reaching 93.3%.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Provide a Deep Convolutional Neural Network Optimized with Morphological Filters to Map Trees in Urban Environments Using Aerial Imagery

Today, we cannot ignore the role of trees in the quality of human life, so that the earth is inconceivable for humans without the presence of trees. In addition to their natural role, urban trees are also very important in terms of visual beauty. Aerial imagery using unmanned platforms with very high spatial resolution is available today. Convolutional neural networks based deep learning method...

متن کامل

Experimental Fast-Tracking of Morphological Analysers for Nguni Languages

The development of natural language processing (NLP) components is resource-intensive and therefore justifies exploring ways of reducing development time and effort when building NLP components. This paper addresses the experimental fast-tracking of the development of finite-state morphological analysers for Xhosa, Swati and (Southern) Ndebele by using an existing prototype of a morphological a...

متن کامل

Application of Artificial Neural Network in Study Phenomenon of Landslide and Risk Modeling using Geographic Information System (GIS), Case Study: Alamoot Rood Watershed

     One of the natural disasters that occurs in abundance in Iran, due to the geological structure, morphological and seismic conditions, and damages the lives and property of people is a landslide. Roodbar Alamoot watershed in the east of Qazvin province is a mountainous region with a high potential for occurrence of landslides. Because of their active status, there is also a growing trend of...

متن کامل

Landslide hazard zonation using artificial neural network model downstream of Sanandaj Dam

Extended abstract 1- Introduction     Landslide as a morphological risk factor is the result of the operation of natural and environmental factors that, like other morphological irregularities, causes damage to human facilities, infrastructure, and property. One of the most significant works of geomorphology is the identification of stable landforms and places with minimal potential for catas...

متن کامل

Crack Detection of Timoshenko Beams Using Vibration Behavior and Neural Network

Abstract: In this research, at first, the natural frequencies of a cracked beam are obtained analytically, then, location and depth of a crack in beam is identified by neural network method. The research is applied on a beam with an open crack for three different boundary conditions. For this purpose, at first, the natural frequencies of the cracked beam are obtained analytically, to get the ex...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005