Learning Meanings of Words and Constructions, Grounded in a Virtual Game
نویسندگان
چکیده
We discuss the use of data from a virtual world game for automated learning of words and grammatical constructions and their meanings. The language data is an integral part of the social interaction in the game and consists of chat dialogue, which is only constrained by the cultural context, as set by the nature of the provided virtual environment. This paper presents a preliminary exploration of syntactic and semantic aspects of the dialogue in the corpus. We show how simple association metrics can be used to extract words, phrases and more abstract syntactic patterns with targeted meanings or speech-act functions, by making use of the nonlinguistic context.
منابع مشابه
Extracting aspects of determiner meaning from dialogue in a virtual world environment
We use data from a virtual world game for automated learning of words and grammatical constructions and their meanings. The language data are an integral part of the social interaction in the game and consist of chat dialogue, which is only constrained by the cultural context, as set by the nature of the provided virtual environment. Building on previous work, where we extracted a vocabulary fo...
متن کاملLearning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy"
Grounded language learning bridges words like ‘red’ and ‘square’ with robot perception. The vast majority of existing work in this space limits robot perception to vision. In this paper, we build perceptual models that use haptic, auditory, and proprioceptive data acquired through robot exploratory behaviors to go beyond vision. Our system learns to ground natural language words describing obje...
متن کاملRhyming Compounds as Elements of a Language Game (In Russian and English Languages)
The article is devoted to the study of composite rhyming compounds as a means of word formation games. It explores the place of this category of words in the lexical system and peculiarities of their use in the Russian and English languages. Authors of the article represent compound words as a special lexical subgroup. On the specific publicistic material are revealed the peculiarities of compo...
متن کاملWord Type Effects on L2 Word Retrieval and Learning: Homonym versus Synonym Vocabulary Instruction
The purpose of this study was twofold: (a) to assess the retention of two word types (synonyms and homonyms) in the short term memory, and (b) to investigate the effect of these word types on word learning by asking learners to learn their Persian meanings. A total of 73 Iranian language learners studying English translation participated in the study. For the first purpose, 36 freshmen from an ...
متن کاملRobotic vocabulary building using extension inference and implicit contrast
TWIG (“Transportable Word Intension Generator”) is a system that allows a robot to learn compositional meanings for new words that are grounded in its sensory capabilities. The system is novel in its use of logical semantics to infer which entities in the environment are the referents (extensions) of unfamiliar words; its ability to learn the meanings of deictic (“I,” “this”) pronouns in a real...
متن کامل