Automatic inference of word meaning using phonosemantic patterns∗

نویسندگان

  • Maria Ruiz-Casado
  • Enrique Alfonseca
  • Pablo Castells
چکیده

This paper describes a new algorithm for discovering automatically possible meanings of unknown words from their phonetic features. It has been tested to obtain the semantics of a few invented verbs, using Levin’s verb classes.

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

Estimating Word Phonosemantics

The paper describes a method of word phonosemantics estimation. We treat phonosemantics as a subconscious emotional perception of word sounding independent on the word meaning. The method is based on the data about emotional perception of sounds obtained from a number of respondents. A program estimates word’s emotional characteristics using the data about sounds. The program output was compare...

متن کامل

Automatic Acquisition of Word Meaning from Context

AUTOMATIC ACQUISITION OF WORD MEANING FROM CONTEXT by Peter Mark Hastings Chair: Assistant Professor Steven Lytinen This thesis presents an automatic, incremental lexical acquisition mechanism that uses the context of example sentences to guide inference of the meanings of unknown words. The goal of this line of research is to allow a Natural Language Processing (NLP) system to cope with words ...

متن کامل

Understanding Descriptions of Visual Scenes Using Graph Grammars

Teaching computers to understand the meaning of natural language text has long been an important goal for Artificial Intelligence. The focus of my work is on the interpretation of descriptions of visual scenes such as ‘A man is sitting on a chair and using the computer’. One application of this research is the automatic generation of 3D scenes (Coyne and Sproat 2001), such as the one in Figure ...

متن کامل

Fuzzy Clustering Approach Using Data Fusion Theory and its Application To Automatic Isolated Word Recognition

 In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the...

متن کامل

Regular Patterns - Probably Approximately Correct Language Model

Almost any word in natural language has a great potential of expressing different meanings. However, in certain contexts, this potential is limited up to the point that one and only one sense is possible. When this happens, we are not dealing with an individual phenomenon, but, rather, all the words in that context have their own meaning potential limited. In this talk, we properly define such ...

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 2004