1. Example Database English-German Dictionary
Iuliana Zibilianu

2. Example Database
Consists of sentences exctracted from the bilingual Korpus.
It is an XML document
The entry structure:
-ID
-language
-equivalent

3. The English-German Dictionary
Consists of two XML files containing English and German words and connections between them.
The dictionary does not cover the entire korpus, but most of the words in the Database can be found here as well.

4. Dictionary- Word Structure
Each entry has the following fields: ID
Grammatical Category
Grammatical Subcategory
Equivalent (the connection to the equivalent or equivalents the word has in the other language)
Spelling
Attributes (which contains specific information for each part of speech)

5. Dictionary Structure
The parts of speech contained in the dictionary are:
Nouns
Verbs
Pronouns
Prepositions
Conjunctions
Adverbs
Adjectives
Articles

6. Dictionary Structure - Nouns
Fields
Category :NOUN
Subcategory :Common/Proper
Attributes :gender ,number, case
Difficulties
-no cases and genders in English
-compound words in German

7. Dictionary Structure -Verbs
Fields:
Category :VERB
Subcategory :Personal/Impersonal
Attributes: mode ,tense, person, no, voice
Gaps:
-a specific verb should be found in every mode ,tense ,person ,number
-when translating ,a verb can change its tense

8. Dictionary Structure -Adjectives
Fields:
Category :ADJECTIVE
Attributes :gender, number, case, degree
Difficulties:
-in English we can only speak about degree
-in German the adjective changes in conformity with the number, the case and the gender of the determined noun

9. Dictionary Structure Articles -full coverage
Prepositions –full coverage
Adverbs –only the ones in the Database
Pronouns –only the needed ones
In addition…
there can be found specific expressions with their translation (there is- es gibt)

10. Accessing the documents
In order to use the information contained in the XML documents a parser was required
DOM parser
builds an internal representation of the document ,a tree of nodes
Methods to handle the information from Dictionary and Database

11. Handling the documents
Common methods
get an entry when the ID is given
Dictionary
-get grammatical category for a given word
-get equivalent
-get translation

12. Integration in the whole project
The Sentence Database as well as the Dictionary are used by the Alignment, Matching, Parsing and Recombination sections