LT TTT2 System

The LT TTT2 System is a Shallow NLP Processing System.

• AKA: LT TTT2.
• Context:
  • It uses the following pipeline::
    • a Tokeniser.
      • Surface Word Segmenter which supersedes LT TTT.
      • a Sentence Splitter.
    • a Part-of-Speech Tagger (from a third party)
    • a Lemmatiser (from a third party).
    • a Named Entity Recognizer (rule based).
    • a Chunker.
  • It is developed by the Edinburgh Language Technology Group.

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References

2009

• http://www.ltg.ed.ac.uk/software/lt-ttt2
  • Synopsis: XML-based software for shallow linguistic processing of text.
  • Description: LT-TTT2 is built around the LT-XML2 programs and provides NLP components for a variety of text processing tasks such as tokenisation and sentence-splitting, chunking and rule-based named entity recognition. It includes a third party part-of-speech tagger and lemmatiser.
• http://www.ltg.ed.ac.uk/software/lt-ttt2/pipeline-doc/file/at_download

2008

• (Grover, 2008) ⇒ Claire Grover. (2008). “LT-TTT2 Example Pipelines Documentation Edinburgh Language Technology Group, July 24.

2000

• (Grover et al., 2000) ⇒ Claire Grover, Colin Matheson, Andrei Mikheev, and Marc Moens. (2000). “LT TTT - A flexible tokenisation tool.” In: Proceedings of LREC-2000.

1999

• Claire Grover, Andrei Mikheev, and Colin Matheson. (1999). “LT TTT version 1.0: text tokenisation software. http://www.ltg.ed.ac.uk/software/ttt/

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