'Finite state transducers' presentation slideshows

A Finite-State Approach to Machine Translation

A Finite-State Approach to Machine Translation. Srinivas Bangalore Giuseppe Riccardi AT&T Labs-Research NAACL 2001, Pittsburgh. Overview. Motivation Stochastic Finite State Machines Learning Machine Translation Models Case study MT for Human-Machine Spoken Dialog

878 views • 61 slides

Stochastic Transductions for Machine Translation*

Stochastic Transductions for Machine Translation*. Giuseppe Riccardi AT&T Labs-Research *Joint work with Srinivas Bangalore and Enrico Bocchieri. Overview. Motivation Stochastic Finite State Machines Learning Machine Translation Models Case study MT for Human-Machine Spoken Dialog

627 views • 61 slides

CSCI 5832 Natural Language Processing

CSCI 5832 Natural Language Processing. Lecture 3 Jim Martin. Today 1/23. Review FSA Determinism and Non-Determinism Combining FSA English Morphology. Review. Regular expressions are just a compact textual representation of FSAs

626 views • 51 slides

Morphology

Morphology. What is morphology? Finite State Transducers Two Level Morphology. What is morphology?. Decomposition of words into meaningful units: anti dis establish ment arian ism Interacts with- syntax( categories and word order)

882 views • 50 slides

Human Language Technology

Human Language Technology. Finite State Transducers. Acknowledgement. Material in this lecture derived/copied in part from Richard Sproat CL46 Lectures Lauri Karttunen LSA lectures 2005 Shuly Wintner 2008 Malta. Three Key Concepts. Regular Relations. Finite State Transducers.

660 views • 50 slides

Chapter 3: Morphology and Finite State Transducer

730 views • 44 slides

LING/C SC/PSYC 438/538

LING/C SC/PSYC 438/538. Lecture 1 Sandiway Fong. Syllabus. Details: 538: introductory level, no formal pre-requisites 438: LING 388 or familiarity with one or more of the following: formal languages, syntax, data structures, or compilers

630 views • 43 slides

Morphology: Words and their Parts

Morphology: Words and their Parts. CS 4705 Julia Hirschberg. Words. In formal languages, words are arbitrary strings In natural languages, words are made up of meaningful subunits called morphemes Morphemes are abstract concepts denoting entities or relationships Morphemes may be

555 views • 32 slides

FST Morphology

FST Morphology. Miriam Butt October 2002. Based on Beesley and Karttunen 2002. Recap. Last Time: Finite State Automata can model most anything that involes a finite amount of states. We modeled a Coke Machine and saw that it could also be thought of as defining a language.

347 views • 24 slides

CSA3050: Natural Language Algorithms

CSA3050: Natural Language Algorithms. Morphological Parsing. Morphology. Morphemes: The smallest unit in a word that bear some meaning, such as rabbit and s , are called morphemes . Combination of morphemes to form words that are legal in some language. Two kinds of morphology

316 views • 22 slides

CSC-682 Cryptography & Computer Security

Sound and Precise Analysis of Web Applications for Injection Vulnerabilities. CSC-682 Cryptography & Computer Security. Based on an article by : Gary Wassermann & Zhendong Su. Pompi Rotaru. Why study SQLCIV.

171 views • 16 slides

Deterministic Part-of-Speech Tagging with Finite-State Transducers

Deterministic Part-of-Speech Tagging with Finite-State Transducers. by Emmanuel Roche and Yves Schabes. ? ? ? KLE Lab. CSE POSTECH 98. 10. 16. Introduction. Stochastic approaches to NLP have often been preferred to rule-based approaches

270 views • 12 slides

Midterm Review

Midterm Review. CS4705 Natural Language Processing. Midterm Review. Regular Expressions Finite State Automata Determinism v. non-determinism (Weighted) Finite State Transducers Morphology Word Classes and p.o.s. Inflectional v. Derivational Affixation, infixation, concatenation

163 views • 7 slides