This is an industry implementation for Our paper A Customizable Editor for Text Simplification, which has been accepted for publication at COLING 2016 on Computational Linguistics, Osaka,Japan.

• phonetics: the sounds of your language
• phonology: the distribution of speech sounds
• morphology: about word formation
• syntax: how words combine to form phrases and sentences
• semantics: the meaning of sentences
• pragmatics: use context in order to interpret an utterance's meaning

• Part-of-speech (POS) tagging
  Chunking -> labels phrases or segments with tags
  Named-entity recognition (NER) -> labels recognised entities
  Semantic-role labeling (SRL)

• hand-engineered features -> assign label to words

• Parsing means associating tree structures to a sentence, given a grammar.
  S -> NP VP NP -> DT N | NP PP
  PP -> PRP NP
  VP -> V NP | VP PP

• During WordNet development synsets are organized into forty-five lexicographer files based on syntactic category and logical groupings.

• Use virtual Environments

• Structure is the key

  • module