ABSTRACT

Studies in Computational Linguistics presents authoritative texts from an international team of leading computational linguists. The books range from the senior undergraduate textbook to the research level monograph and provide a showcase for a broad range of recent developments in the field. The series should be interesting reading for researchers and students alike involved at this interface of linguistics and computing.

part |2 pages

Part I Analogy-based methods

part |2 pages

Part II: Connectionist methods

chapter 4|41 pages

Towards a hybrid abstract

part |2 pages

Part III Corpus-based methods

chapter 9|8 pages

A system for automating

chapter 10|12 pages

A machine learning approach to anaphoric reference

D. BURGER
ByDennis Connolly, John D. Burger and DavidS. Day

chapter 11|20 pages

Some methods for the extraction of

chapter 13|13 pages

A new direction for sublanguage NLP

BySatoshi Sekine

chapter 14|19 pages

Efficient

part |2 pages

Part IV Example-based Machine Translation

chapter 15|8 pages

Towards

DANIEL JONES AND MELINA ALEXA
Bycompounds English word groups

chapter 17|20 pages

A natural-language-translation neural network

NENAD KONCAR AND GREGORY GUTHRIE

chapter |30 pages

Part V: Statistical approaches

chapter 21|13 pages

A

chapter 22|17 pages

A

part |2 pages

Part VI Hybrid approaches

chapter 24|17 pages

Coarse-grained

UDO HAHN
Byunderstanding:

chapter 25|13 pages

A stochastic Government-Binding parser

chapter 26|13 pages

Evolutionary algorithms for dialogue optimization as an example of a

J. NETTLETON AND
Byhybrid NLP system

chapter 27|11 pages

More for less:

part |2 pages

Part VII Methodological issues

chapter 28|10 pages

Software reuse, object-oriented frameworks