Anniversary article: Then and now: 25 years of progress in natural language engineering. (15th May 2019)
- Record Type:
- Journal Article
- Title:
- Anniversary article: Then and now: 25 years of progress in natural language engineering. (15th May 2019)
- Main Title:
- Anniversary article: Then and now: 25 years of progress in natural language engineering
- Authors:
- Tait, John
Wilks, Yorick - Abstract:
- Abstract: The paper reviews the state of the art of natural language engineering (NLE) around 1995, when this journal first appeared, and makes a critical comparison with the current state of the art in 2018, as we prepare the 25th Volume. Specifically the then state of the art in parsing, information extraction, chatbots, and dialogue systems, speech processing and machine translation are briefly reviewed. The emergence in the 1980s and 1990s of machine learning (ML) and statistical methods (SM) is noted. Important trends and areas of progress in the subsequent years are identified. In particular, the move to the use of n-grams or skip grams and/or chunking with part of speech tagging and away from whole sentence parsing is noted, as is the increasing dominance of SM and ML. Some outstanding issues which merit further research are briefly pointed out, including metaphor processing and the ethical implications of NLE.
- Is Part Of:
- Natural language engineering. Volume 25:Part 3(2019)
- Journal:
- Natural language engineering
- Issue:
- Volume 25:Part 3(2019)
- Issue Display:
- Volume 25, Issue 3, Part 3 (2019)
- Year:
- 2019
- Volume:
- 25
- Issue:
- 3
- Part:
- 3
- Issue Sort Value:
- 2019-0025-0003-0003
- Page Start:
- 405
- Page End:
- 418
- Publication Date:
- 2019-05-15
- Subjects:
- Information extraction, -- Machine learning, -- Machine translation, -- Parsing, -- Statistical methods
Natural language processing (Computer science) -- Periodicals
Software engineering -- Periodicals
006.35 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=NLE ↗
- DOI:
- 10.1017/S1351324919000081 ↗
- Languages:
- English
- ISSNs:
- 1351-3249
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10386.xml