عنوان

A resource-light approach to morpho-syntactic tagging /

(Number (ISBN

9042027681

(Number (ISBN

904202769X

(Number (ISBN

9789042027688

(Number (ISBN

9789042027695

Number

b747569

Title Proper

A resource-light approach to morpho-syntactic tagging /

General Material Designation

[Book]

First Statement of Responsibility

Anna Feldman and Jirka Hana.

Place of Publication, Distribution, etc.

New York, NY :

Name of Publisher, Distributor, etc.

Rodopi,

Date of Publication, Distribution, etc.

2010.

Specific Material Designation and Extent of Item

1 online resource (xiv, 185 pages) :

Other Physical Details

illustrations.

Series Title

Language and computers : studies in practical linguistics ;

Volume Designation

no. 70

Text of Note

Includes bibliographical references (pages 133-148) and index.

Text of Note

Preliminary Material -- Introduction -- Common tagging techniques -- Previous resource-light approaches to NLP -- Languages, corpora and tagsets -- Quantifying language properties -- Resource-light morphological analysis -- Cross-language morphological tagging -- Summary and further work -- Bibliography -- Tagsets we use -- Corpora -- Language properties -- Citation Index.

00

Text of Note

While supervised corpus-based methods are highly accurate for different NLP tasks, including morphological tagging, they are difficult to port to other languages because they require resources that are expensive to create. As a result, many languages have no realistic prospect for morpho-syntactic annotation in the foreseeable future. The method presented in this book aims to overcome this problem by significantly limiting the necessary data and instead extrapolating the relevant information from another, related language. The approach has been tested on Catalan, Portuguese, and Russian. Although these languages are only relatively resource-poor, the same method can be in principle applied to any inflected language, as long as there is an annotated corpus of a related language available. Time needed for adjusting the system to a new language constitutes a fraction of the time needed for systems with extensive, manually created resources: days instead of years. This book touches upon a number of topics: typology, morphology, corpus linguistics, contrastive linguistics, linguistic annotation, computational linguistics and Natural Language Processing (NLP). Researchers and students who are interested in these scientific areas as well as in cross-lingual studies and applications will greatly benefit from this work. Scholars and practitioners in computer science and linguistics are the prospective readers of this book.

Title

Resource-light approach to morpho-syntactic tagging.

International Standard Book Number

9789042027688

Computational linguistics.

Cross-language information retrieval.

Grammar, Comparative and general-- Morphosyntax.

Language transfer (Language learning)

Computational linguistics.

Cross-language information retrieval.

Grammar, Comparative and general-- Morphosyntax.

LANGUAGE ARTS & DISCIPLINES-- Grammar & Punctuation.

LANGUAGE ARTS & DISCIPLINES-- Linguistics-- Syntax.

Language transfer (Language learning)

LAN-- 006000

LAN-- 009060

Number

Edition

Class number

Book number

Feldman, Anna.

Hana, Jirka.

Date of Transaction

20201204073747.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y