We will use a Haskell library, sequor, to train our own parts of speech tagger. Then we can use this newly trained model on our own input.
In a new file, which we name Main.hs, enter the following source code:
Use the
sequorexecutable to train the parts of speech tagger:The first argument to
sequorwill betrain, to indicate that we are about to train a taggerThe next argument is the template-file,
data/all.featuresThen we provide the train-file,
data/train.conllThe last file path we need to provide is the location of where to save the trained model
We can specify a learning rate using the
-rateflagThe beam size can be modified using the
-beamflagChange the number of iterations using the
-iterflagUse hashing instead of a feature dictionary using the
-hashflagProvide a path to the held out data using the
-heldoutflagAn example of the sequor command in use is as...