the regla database. towards making it compatible with lila · compatible with lila berta gonz alez...

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The REGLA database. Towards making it compatible with LiLa Berta Gonz´ alez Saavedra, Carlos Curi´ a and Esperanza Torrego Universidad Aut´ onoma de Madrid June, the 4th

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Page 1: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

The REGLA database. Towards making itcompatible with LiLa

Berta Gonzalez Saavedra, Carlos Curia and EsperanzaTorrego

Universidad Autonoma de Madrid

June, the 4th

Page 2: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

Research projects

I FFI2009-13402-C04: 2009-2013

I FFI2013-47357-C4: 2013-2017

I COMREGLA. Compatibilizando REGLA con otrosrecursos digitales- AYUDAS FUNDACION BBVA AEQUIPOS DE INVESTIGACION CIENTIFICA 2018

Page 3: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

What is REGLA?

I REGLA stands for REccion y complementacion en GriegoAntiguo y Latın. It is a database for verbs and theirValency Frames.

I REGLA was built up as tool for a research project, startedin 2009 and aimed to investigate Valency Frames of Greekand Latin verbs from a corpus of verbal forms in use as bigas possible.

I It contains VFs of around 200 Latin and Greek verbsextracted from more than 25,000 texts evidences

I Theoretical approach: Functional Grammar (S. Dik 1997,The Theory of Functional Grammar, Berlın-New York,Mouton de Gruyter).

Page 4: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

Fields of analysis

I for VerbsI Morphology of the verbal form (lemma, person, number,

aspect and tense, mood, voice)I Main or subordiate clauseI PolarityI Complementation (Arguments and 1st level satellites)

I for ComplementationI Presence (explicit, generic or context retrievable)I Integration level (Arg.1, Arg.2, Arg.3, Arg.4, Satellite)I Syntactic function (Subject, Direct Object. . . )I Formal codification (case, preposition, Sub. Clause . . . )I Semantic function (Agent, Experiencer, Instrument. . . )I Lexical characterisation (human being, event, concrete,

place, . . . )

Page 5: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

Results

I Valency Frames based on all verbal forms in use (empiricalevidence)

I Repository of Valency Frames of the Greek and Latin verbs

castra ponit → [A1(Agent)(Hum)][A2(Afect)(Concr)]

in conspectu Caesaris atque omnis exercitus res gerebatur→ [A2(Afect)(Even)][S(Ubic)(Lug)]

corporis uero forma constabit exiguo capite, nigris oculis,naribus apertis→[A1(Afect)(Prop)][A2(Orig)(Concr)+A2(Orig)(Concr)]

Page 6: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

First steps of the REGLA db, 2010-2013

I Latin Corpus:I Files extracted from LASLA for concrete verbs

I Greek corpus:I Pieces of texts copied “by hand” doing “copy and paste”

I Flex Application + MySQL database

Page 7: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

2014, texts extracted from Perseus with web scrapingfor Greek and Latin

Page 8: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

Database scheme

Corpus Text and Verbal Features → Argument Features

Page 9: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

REGLA Flex Application - General View of the Data

Page 10: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

REGLA Flex Application - Annotation Interface forVerbs

Page 11: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

REGLA Flex Application - Annotation Interface forNPs

Page 12: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

REGLA Flex Application - Statistics

Page 13: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

Technical Implementation: Shortcomings (2014) andREGLA new Directions

Database have pieces of unrelated texts

Queries are limited to a single verb

Queries are limited to a bunch of features

Flex and Flash has an uncertain future

I Improve queries and statistics for the whole database

I Work with complete works, not with unconnected pieces oftexts

I Annotated systems able to support semantic tags

I Leave Flex and adopt the browser as technology for theclient

Page 14: The REGLA database. Towards making it compatible with LiLa · compatible with LiLa Berta Gonz alez Saavedra, Carlos Curi a and Esperanza Torrego Universidad Aut onoma de Madrid June,

The REGLA Browser