METHOD FOR AN AUTOMATIC GENERATION OF A SEMANTIC-LEVEL CONTEXTUAL TRANSLATIONAL DICTIONARY

St. Petersburg State University

Dmitry Kan Faculty of Applied Mathematics and Control Processes, Department of Technology of Programming, Peterhof, Russia

dmitry.kan@gmail.com

Abstract Word alignment Translational dictionary

In this paper we demonstrate the semantic

feature machine translation (MT) system

as a combination of two fundamental

approaches, where the rule-based side is

supported by the functional model of the

Russian language and the statistical side

utilizes statistical word alignment. The

MT system relies on a semantic-level

contextual translational dictionary as its

key component. We will present the

method for an automatic generation of the

dictionary where disambiguation is done

on a semantic level.

Desperate to hold onto power , Pervez

Musharraf has

discarded Pakistan ' s constitutional

framework and

declared a state of emergency .

NULL ({20}) В ({})

отчаянном ({1 3 4})

стремлении ({2}) удержать ({}) власть

({5}) ,

({6}) Первез ({7}) Мушарраф ({8}) от-

верг ({9 10})

конституционную ({14 15})

систему ({})

Пакистана ({11 12 13}) и ({16})

объявил ({17}) о ({18})

введении ({})

чрезвычайного ({19 21})

положения ({}) . ({22})

Table 1: Word alignment for English and Russian sentences

Parallel corpus: UMC 0.1 86000 pairs of sentences 1,3 million phrase pairs ~18000 resulting dictionary entries

В Y1>HabU(Y1:,ПРЕД:Z1)

\\ <149>--->Within

В Y1>Loc(Y1:,ВНУТРИ$12/313/05

(ПРЕД:Z1))

\\ <146>--->at

В Y1>Loc(Y1:,Oper01(#,ПРЕД:Z1))

\\ <208>--->In

В Y1>Loc(Y1:,ПРЕД:Z1)

\\ <224>--->Throughout

...

НА Y1>Direkt(Y1:,ВЕРХ$12/141/05

(ВИН:Z1))

\\ <67>--->at

НА Y1>Direkt(Y1:,РОД:Z1) \\ <100>-

-->on

НА Y1>Direkt(Y1:,РОД:Z1) \\ <69>--

->for

...

ОБРАЗ (РОД:Z1) \\ <2>--->a way

ОБЩЕМИРОВОЙ A1>Rel

(A1:НЕЧТО$1,ПОЛНЫЙ$12/207/05

(МИР$1227))

\\ <1>--->global

...

Computer semantics theory

Thesis 1. Language is an algebraic system

{f1, .., fn, M}, where fi is basis function and

M is data structure (set of basis concepts) of

a natural language L.

Thesis 2. Each word in a sentence S is the

name of its semantic function.

Thesis 3. Grammar links with semantics and

can be incorporated into semantics

dictionary

mjhiww

wwfwwfFS

hmij

nlnnk

,,

)),,...,(),...,,...,(( 11111

Russian English

NULL of

отчаянном Desperate to hold

стремлении to

власть power

, ,

Первез Pervez

Мушарраф Musharraf

отверг has discarded

конституционную constitutional framework

Пакистана Pakistan ´ s

и and

объявил declared

о a

чрезвычайного state emergency

. .

Features of Machine Translation System dictionary entries contain semantic attributes of the Russian words

each entry represents a sample of a context extracted using statistical

word alignment and coded with the corresponding semantic formula;

the MT system is automatically extendable through acquiring new par-

allel corpora and applying the method of word alignment with semantic

analysis of sentences on source language side

Semantic Machine Translation Model

where

i

lk

s

i

ml

mk

S

ni

P

ttm

tti

SMTM

),(maxarg),...,1

(maxarg

,2

1,1,1

ML

lt

kt

MLl

tk

t

lt

kt

Si

2,0

2,1

),(