Add to ORKGAbstract. Semantic similarity plays an important role in a number of applications including information extraction, information retrieval, document clustering and ontology learning. Most work has concentrated on English and other European languages. However, for the Thai language, there has been no research about word semantic similarity. This paper presents an experiment and benchmark data sets investigating the application of a WordNet-based machine measure to Thai similarity. Because there is no functioning Thai WordNet we also investigate the use of English WordNet with machine translation of Thai words
Semantic similarity is a fundamental concept and widely researched and used in the fields of natural...
In Thai language, the word boundary is not explicitly clear, therefore, word segmentation is needed ...
Lexical databases following the wordnet paradigm capture information about words, word senses, and t...
Abstract. Semantic similarity plays an important role in a number of applications including informat...
Research into semantic similarity has a long history in lexical semantics, and it has applications i...
Conversational Agents integrate computational linguistics techniques and natural language to suppor...
Semantic similarity between words is a very important task and widely practiced in the field of n...
This research proposes a new technique in Thai-English transliterated words searching by using the s...
Wordnet::Similarity is an important instru-ment used for many applications. It has been available fo...
Abstract: The main purpose of this study is to evaluate Statistical-based Machine translation for En...
Bilingual or even polylingual word embeddings created many possibilities for tasks involving multipl...
The measurement of semantic similarity between words or concepts has been widely applied in various ...
Semantic similarity is a long-standing problem in natural language processing (NLP). It is a topic o...
Since Thai writing system has no explicit word and sentence boundaries, language sense in Thai depen...
Measuring semantic similarity between texts is calculating semantic relatedness between texts using ...
Semantic similarity is a fundamental concept and widely researched and used in the fields of natural...
In Thai language, the word boundary is not explicitly clear, therefore, word segmentation is needed ...
Lexical databases following the wordnet paradigm capture information about words, word senses, and t...
Abstract. Semantic similarity plays an important role in a number of applications including informat...
Research into semantic similarity has a long history in lexical semantics, and it has applications i...
Conversational Agents integrate computational linguistics techniques and natural language to suppor...
Semantic similarity between words is a very important task and widely practiced in the field of n...
This research proposes a new technique in Thai-English transliterated words searching by using the s...
Wordnet::Similarity is an important instru-ment used for many applications. It has been available fo...
Abstract: The main purpose of this study is to evaluate Statistical-based Machine translation for En...
Bilingual or even polylingual word embeddings created many possibilities for tasks involving multipl...
The measurement of semantic similarity between words or concepts has been widely applied in various ...
Semantic similarity is a long-standing problem in natural language processing (NLP). It is a topic o...
Since Thai writing system has no explicit word and sentence boundaries, language sense in Thai depen...
Measuring semantic similarity between texts is calculating semantic relatedness between texts using ...
Semantic similarity is a fundamental concept and widely researched and used in the fields of natural...
In Thai language, the word boundary is not explicitly clear, therefore, word segmentation is needed ...
Lexical databases following the wordnet paradigm capture information about words, word senses, and t...