Natural Language Parsing Systems

¡ Springer Science & Business Media
āχāĻŦ⧁āĻ•
367
āĻĒ⧃āĻˇā§āĻ āĻž
āĻŽā§‚āĻ˛ā§āϝāĻžāĻ‚āĻ•āύ āφ⧰⧁ āĻĒā§°ā§āϝāĻžāϞ⧋āϚāύāĻž āϏāĻ¤ā§āϝāĻžāĻĒāύ āϕ⧰āĻž āĻšā§‹ā§ąāĻž āύāĻžāχ  āĻ…āϧāĻŋāĻ• āϜāĻžāύāĻ•

āĻāχ āχāĻŦ⧁āĻ•āĻ–āύ⧰ āĻŦāĻŋāĻˇā§Ÿā§‡

Up to now there has been no scientific publication on natural lan guage research that presents a broad and complex description of the current problems of parsing in the context of Artificial Intelli gence. However, there are many interesting results from this domain appearing mainly in numerous articles published in pro fessional journals. In view of this situation, the objective of this book is to enable scientists from different countries to present the results of their research on natural language parsing in the form of more detailed papers than would be possible in professional jour nals. This book thus provides a collection of studies written by well known scientists whose earlier publications have greatly contributed to the development of research on natural language parsing. Jaime G. Carbonell and Philip J. Hayes present in their paper "Robust Parsing Using Multiple Construction-Specific Strategies" two small experimental parsers, implemented to illustrate the advantages of a multi-strategy approach to parsers, with strategies selected according to the type of construction being parsed at any given time. This presentation is followed by the description of a parsing algorithm, integrating some of the best features of the two smaller parsers, including case-frame instantiation and partial pat tern-matching strategies.

āĻāχ āχāĻŦ⧁āĻ•āĻ–āύāĻ• āĻŽā§‚āĻ˛ā§āϝāĻžāĻ‚āĻ•āύ āϕ⧰āĻ•

āφāĻŽāĻžāĻ• āφāĻĒā§‹āύāĻžā§° āĻŽāϤāĻžāĻŽāϤ āϜāύāĻžāĻ“āĻ•āĨ¤

āĻĒāĻĸāĻŧāĻžā§° āύāĻŋāĻ°ā§āĻĻ⧇āĻļāĻžā§ąāϞ⧀

āĻ¸ā§āĻŽāĻžā§°ā§āϟāĻĢ’āύ āφ⧰⧁ āĻŸā§‡āĻŦāϞ⧇āϟ
Android āφ⧰⧁ iPad/iPhoneā§° āĻŦāĻžāĻŦ⧇ Google Play Books āĻāĻĒāĻŸā§‹ āχāύāĻˇā§āϟāϞ āϕ⧰āĻ•āĨ¤ āχ āĻ¸ā§āĻŦāϝāĻŧāĻ‚āĻ•ā§āϰāĻŋāϝāĻŧāĻ­āĻžā§ąā§‡ āφāĻĒā§‹āύāĻžā§° āĻāĻ•āĻžāωāĻŖā§āϟ⧰ āϏ⧈āϤ⧇ āĻ›āĻŋāĻ‚āĻ• āĻšāϝāĻŧ āφ⧰⧁ āφāĻĒ⧁āύāĻŋ āϝ'āϤ⧇ āύāĻžāĻĨāĻžāĻ•āĻ• āϤ'āϤ⧇āχ āϕ⧋āύ⧋ āĻ…āĻĄāĻŋāĻ…'āĻŦ⧁āĻ• āĻ…āύāϞāĻžāχāύ āĻŦāĻž āĻ…āĻĢāϞāĻžāχāύāϤ āĻļ⧁āύāĻŋāĻŦāϞ⧈ āϏ⧁āĻŦāĻŋāϧāĻž āĻĻāĻŋāϝāĻŧ⧇āĨ¤
āϞ⧇āĻĒāϟāĻĒ āφ⧰⧁ āĻ•āĻŽā§āĻĒāĻŋāωāϟāĻžā§°
āφāĻĒ⧁āύāĻŋ āĻ•āĻŽā§āĻĒāĻŋāωāϟāĻžā§°ā§° ā§ąā§‡āĻŦ āĻŦā§āϰāĻžāωāϜāĻžā§° āĻŦā§āĻ¯ā§ąāĻšāĻžā§° āϕ⧰āĻŋ Google PlayāϤ āĻ•āĻŋāύāĻž āĻ…āĻĄāĻŋāĻ…'āĻŦ⧁āĻ•āϏāĻŽā§‚āĻš āĻļ⧁āύāĻŋāĻŦ āĻĒāĻžā§°ā§‡āĨ¤
āχ-ā§°ā§€āĻĄāĻžā§° āφ⧰⧁ āĻ…āĻ¨ā§āϝ āĻĄāĻŋāĻ­āĻžāχāϚ
Kobo eReadersā§° āĻĻ⧰⧇ āχ-āϚāĻŋ⧟āĻžāρāĻšā§€ā§° āĻĄāĻŋāĻ­āĻžāχāϚāϏāĻŽā§‚āĻšāϤ āĻĒā§āĻŋāĻŦāϞ⧈, āφāĻĒ⧁āύāĻŋ āĻāϟāĻž āĻĢāĻžāχāϞ āĻĄāĻžāωāύāĻ˛â€™āĻĄ āϕ⧰āĻŋ āϏ⧇āχāĻŸā§‹ āφāĻĒā§‹āύāĻžā§° āĻĄāĻŋāĻ­āĻžāχāϚāϞ⧈ āĻ¸ā§āĻĨāĻžāύāĻžāĻ¨ā§āϤ⧰āĻŖ āϕ⧰āĻŋāĻŦ āϞāĻžāĻ—āĻŋāĻŦāĨ¤ āϏāĻŽā§°ā§āĻĨāĻŋāϤ āχ-ā§°āĻŋāĻĄāĻžā§°āϞ⧈ āĻĢāĻžāχāϞāĻŸā§‹ āϕ⧇āύ⧇āĻ•ā§ˆ āĻ¸ā§āĻĨāĻžāύāĻžāĻ¨ā§āϤ⧰ āϕ⧰āĻŋāĻŦ āϜāĻžāύāĻŋāĻŦāϞ⧈ āϏāĻšāĻžāϝāĻŧ āϕ⧇āĻ¨ā§āĻĻā§ā§°āϤ āĻĨāĻ•āĻž āϏāĻŦāĻŋāĻļ⧇āώ āύāĻŋā§°ā§āĻĻ⧇āĻļāĻžā§ąāϞ⧀ āϚāĻžāĻ“āĻ•āĨ¤