TalLinzen

hebrew-blog-corpus

lambada

Recurrent neural network models for lambada dataset (and others as well without lambada test)

lexvars

Tools for generating word properties for psycholinguistic experiments

LM_syneval

Code for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.

lstm

mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

nlp-in-ling

Natural Language Processing Research in North American Linguistics Departments

presidential-debates-nlp

Run Stanford CoreNLP on LexisNexis presidential debates data

rapid_phonotactic_generalization

Data and code for Linzen & Gallagher, "Rapid generalization in phonotactic learning"

rnn_agreement

Evaluating recurrent neural networks on predicting subject-verb agreement dependencies

TalLinzen/rnn_agreement

Evaluating recurrent neural networks on predicting subject-verb agreement dependencies

TalLinzen/lexvars

Tools for generating word properties for psycholinguistic experiments

TalLinzen/hebrew-blog-corpus

TalLinzen/mne-python

MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

TalLinzen/rapid_phonotactic_generalization

Data and code for Linzen & Gallagher, "Rapid generalization in phonotactic learning"

TalLinzen/lambada

Recurrent neural network models for lambada dataset (and others as well without lambada test)

TalLinzen/LM_syneval

Code for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.

TalLinzen/lstm

TalLinzen/nlp-in-ling

Natural Language Processing Research in North American Linguistics Departments

TalLinzen/presidential-debates-nlp

Run Stanford CoreNLP on LexisNexis presidential debates data

TalLinzen/russian-preps

Code for Linzen, Kasyanenko & Gouskova (2013), Phonology

TalLinzen/SCRNNs

This is a self contained software accompanying the paper titled: Learning Longer Memory in Recurrent Neural Networks: http://arxiv.org/abs/1412.7753.

TalLinzen/tallinzen.github.io