Estimating Word Phonosemantics
نویسندگان
چکیده
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 compared with human’s judgment. The results of the experiments showed that in most cases computer description of a word based on phonosemantic calculations is similar with our own impressions of the word’s sounding. On the other hand the word meaning dominates in emotional perception of the word and phonosemantic part comes out for the words with unknown meaning.
منابع مشابه
Estimating the Parameters for Linking Unstandardized References with the Matrix Comparator
This paper discusses recent research on methods for estimating configuration parameters for the Matrix Comparator used for linking unstandardized or heterogeneously standardized references. The matrix comparator computes the aggregate similarity between the tokens (words) in a pair of references. The two most critical parameters for the matrix comparator for obtaining the best linking results a...
متن کاملSemantic Features Based on Word Alignments for Estimating Quality of Text Simplification
This paper examines the usefulness of semantic features based on word alignments for estimating the quality of text simplification. Specifically, we introduce seven types of alignment-based features computed on the basis of word embeddings and paraphrase lexicons. Through an empirical experiment using the QATS dataset (Štajner et al., 2016b), we confirm that we can achieve the state-of-the-art ...
متن کاملEstimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm
Selecting the right word translation among several op tions in the lexicon is a core problem for machine trans lation We present a novel approach to this problem that can be trained using only unrelated monolingual corpora and a lexicon By estimating word translation probabilities using the EM algorithm we extend upon target language modeling We construct a word trans lation model for German an...
متن کاملEstimating Word Translation Probabilities for Thai – English Machine Translation using EM Algorithm
Selecting the word translation from a set of target language words, one that conveys the correct sense of source word and makes more fluent target language output, is one of core problems in machine translation. In this paper we compare the 3 methods of estimating word translation probabilities for selecting the translation word in Thai – English Machine Translation. The 3 methods are (1) Metho...
متن کاملProminence detection in Swedish using syllable correlates
This paper presents an approach to estimating word level prominence in Swedish using syllable level features. The paper discusses the mismatch problem of annotations between word level perceptual prominence and its acoustic correlates, context, and data scarcity. 200 sentences are annotated by 4 speech experts with prominence on 3 levels. A linear model for feature extraction is proposed on a s...
متن کامل