You can explore the semantic space by looking up word neighbours in the semantic space.
For example, type in
dinozaur
mózg
zachowanie
badania
nauka
and press Calculate.
The semantic space available in this interface was created as part of th the CoDeS project:
Mykowiecka, A., Marciniak, M. & Rychlik, P. (2017). Testing word embeddings for Polish, Cogntive Studies, 17, doi: 10.11649/cs.1468
For more information see the snaut website and our paper:
Rataj, K., Kakuba, P., Mandera, P. & Van Heuven, W. (under review). Establishing semantic relatedness through ratings, semantic vectors, and reaction times: A comparison.
dinozaur
mózg
zachowanie
badania
nauka
and press Calculate.
The semantic space available in this interface was created as part of th the CoDeS project:
Mykowiecka, A., Marciniak, M. & Rychlik, P. (2017). Testing word embeddings for Polish, Cogntive Studies, 17, doi: 10.11649/cs.1468
For more information see the snaut website and our paper:
Rataj, K., Kakuba, P., Mandera, P. & Van Heuven, W. (under review). Establishing semantic relatedness through ratings, semantic vectors, and reaction times: A comparison.
Load from a file
Load from a file
Load from a file
This is an interface that allows to do semantic arithmetic. For example, king - man + woman = queen.
You can combine arbitrary number of positive and negative vectors.
In order to try this example, type 'king, woman' to the upper box (positive vectors) and 'man' (negative vector) to the lower one.
For more information see:
Mikolov, T., Yih, W., & Zweig, G. (2013). Linguistic Regularities in Continuous Space Word Representations. In HLT-NAACL (pp. 746–751).
In order to try this example, type 'king, woman' to the upper box (positive vectors) and 'man' (negative vector) to the lower one.
For more information see:
Mikolov, T., Yih, W., & Zweig, G. (2013). Linguistic Regularities in Continuous Space Word Representations. In HLT-NAACL (pp. 746–751).
