By James Pustejovsky, Amber Stubbs
Create your personal normal language education corpus for computing device studying. no matter if you're operating with English, chinese language, or the other ordinary language, this hands-on booklet publications you thru a confirmed annotation improvement cycle—the technique of including metadata on your education corpus to aid ML algorithms paintings extra successfully. You don't desire any programming or linguistics adventure to get started.
Using specific examples at each step, you'll learn the way the MATTER Annotation improvement Process is helping you version, Annotate, teach, try out, review, and Revise your education corpus. you furthermore may get a whole walkthrough of a real-world annotation project.
• outline a transparent annotation target ahead of gathering your dataset (corpus)
• research instruments for examining the linguistic content material of your corpus
• construct a version and specification on your annotation project
• research different annotation codecs, from easy XML to the Linguistic Annotation Framework
• Create a choicest corpus that may be used to coach and try ML algorithms
• decide on the ML algorithms that may technique your annotated data
• overview the attempt effects and revise your annotation task
• how one can use light-weight software program for annotating texts and adjudicating the annotations
This e-book is an ideal spouse to O'Reilly's Natural Language Processing with Python.