In:Where Words Get their Meaning: Cognitive processing and distributional modelling of word meaning in first and second language
Marianna Bolognesi
[Converging Evidence in Language and Communication Research 23] 2020
► pp. 207–208
Index
Published online: 20 November 2020
https://doi.org/10.1075/celcr.23.index
https://doi.org/10.1075/celcr.23.index
A
- Abstract concepts 21, 22, 23, 24, 25, 26, 35, 118, 139, 140, 141, 142, 143, 144, 154, 155, 156, 165, 172, 179, 180, 181
- Abstraction 16, 48, 82, 138, 139, 141, 142, 149, 152, 153, 154, 155, 156, 166, 167, 171, 172, 173, 175, 182
- Analogy 146, 173
- Associative learning 63, 64, 90, 103
- BERT95
- Bilingual mental lexicon 55, 72, 73
- Bilinguals 56, 57, 58, 59
- Concrete concepts 22, 23, 24, 25, 26, 31, 118, 139, 140, 141, 142, 143, 148, 153, 154, 156, 163, 164, 175, 179, 180, 181
- Concreteness 25, 26, 51, 58, 153, 154, 155, 156
- Conditioning 66, 90, 100, 101, 102, 103, 154
- Creativity 173, 175, 176
- Cross situational learning 16, 17, 18, 19, 20, 21, 63, 64, 65, 71, 139, 140, 141, 150, 151, 152
- Discriminative learning 18, 90, 101, 104, 152, 178
- Distributional semantic models 79, 80, 81, 82, 83, 85, 89, 109, 113, 122, 123, 124, 143, 145, 147, 170, 171, 177, 183
- Dual Coding Theory 23, 118
- Embodiment 23, 24, 35, 48, 105, 106, 107, 148, 165
- Emotion 28, 29, 106, 107, 120, 121, 122, 180
- Feature matching 66, 67, 68, 150, 161, 162, 163, 165, 183
- First language acquisition 13, 14, 15, 59, 63, 159, 171, 176, 181
- Flickr Distributional Tagspace 122, 123, 124, 125, 126
- Grounded Cognition 23, 34, 105, 106, 114, 138, 139, 149, 163, 164, 165, 166
- Incidental vocabulary learning 60, 61, 62, 73, 114
- Latent Semantic Analysis 77, 78, 81, 82, 83, 91, 100, 101, 105, 106, 117, 118, 123, 126, 127, 170
- Machine learning 36, 38, 169, 172
- Mental lexicon 23, 33, 34, 35, 36, 55, 56, 57, 73, 95, 108, 109, 113, 115, 144, 145, 146, 147
- Metaphor 35, 36, 40, 44, 45, 46, 47, 48, 49, 50, 51, 52, 73, 108, 109, 127, 150, 157, 158, 159, 160, 161, 162, 163, 164, 167, 174, 175, 177
- Metonymy 40, 41, 42, 43, 44, 45, 52, 73, 150, 157, 160, 161, 162, 163, 167
- Multimodality 106, 114, 119, 120, 127, 131, 171
- Neural networks 40, 51, 77, 91, 92, 95, 96, 103, 104, 128, 129, 130, 131, 150, 169, 170, 171, 172, 178, 184
- Nlp 82, 95
- Pattern detection 65, 66, 68, 136, 150, 162, 166, 175, 183
- Perceptron 129, 130, 131
- Polysemy 35, 36, 37, 38, 39, 40, 41, 42, 43, 45, 46, 47, 48, 73, 82, 95, 108, 127, 150, 153, 160, 161, 167
- Rescorla Wagner Model 101, 102, 103, 104, 150, 151, 152, 178
- Second language acquisition and representation 19, 55, 56, 57, 58, 59, 60, 61, 62, 109, 110, 111, 113, 145, 146, 147, 148, 171
- Semantic representation 25, 34, 45, 55, 56, 58, 69, 70, 74, 77, 78, 79, 81, 93, 108, 112, 113, 114, 118, 119, 120, 121, 124, 125, 127, 138, 142, 145, 146, 147, 148, 161, 163, 165, 166, 173, 179, 182
- Statistical learning 62, 63, 64, 73, 150, 152
- Symbol Grounding 23, 34, 79, 105, 106, 107, 114, 115, 117, 118, 119, 128, 131, 138, 139, 144, 148, 149, 150, 166
- Vector spaces 77, 78, 95, 150
- Word associations 31, 53, 59, 63, 71, 73, 119, 130, 137, 138, 139, 140, 142, 143, 144, 145, 146, 148, 156, 157, 158, 159, 160, 165, 167, 176, 177, 179, 181
- Word embeddings 40, 51, 52, 90, 91, 92, 93, 94, 95, 96, 169, 170, 172, 173, 174, 177, 178
- Word vectors 39, 51, 86, 87, 88, 89, 91, 93, 94, 95, 119, 120, 150, 170, 177
- Word2vec 92, 94, 95
