BA/app

Primary sources

Computer linguistics: CL intro

Genetic Algorithms: An introduction to genetic algorithms

Linguistics: Dissertation partly about interferences. Has a nice error classification, error taxonomy, borrowing, tranfer etc etc. Seems like a nice intro to "What exists"

CL/ML resources

Text classification

Natural language classification with Python:Book, especially learning to classify text

With machine learning:

• with tensorflow and generally nns: [1]
• Machine Learning, NLP: Text Classification using scikit-learn, python and NLTK
• Working with scikit and text data

Error Detection

error detection using local word bigram and trigram + some others Automatic error analysis of machine translation output -- more about possible errors and ways to classify them

Somewhat similar problems being solved

Cross-cultural Deception Detection. It uses unigrams + LIWC (which is more psychological and less relevant)

• Deception detection -- has examples of extracted features which I might use
• [2] -- lie detector
• Linguistic Cues to Deception Assessed by Computer Programs: A Meta-Analysis -- also ideas of possible features that might be interesting to look into.

Linguistics

Typical errors

Russian

• Similar-sounding and semantically non-identical words + idioms
• Grammar. Articles, connecting verbs, future tenss, negative sentences, commas etc etc -- really nice.

German

• list of sentences
• also examples, hard to generalize
• examples, a bit better ones?
• German reflexive verbs list which could be used to see differences between English and German reflexive verbs.

Indian

• Wikipedia - Indian English I thing this could be done just statistically?

Italian

???

Random

Natural Language Annotation for Machine Learning ebook, seems to cover quite a lot

downloads and demos -- datasets for CL lying detection -- generally interesting

Classification-as-a-service with free examples. Gender, MBTI, etc etc etc, pretty nice