blob: a7e4ed8882f3e2f07b1545da9685311bfa1c3a22 [file] [log] [blame]
---
title: "Assembling EuReCo for Contrastive Research"
subtitle: "The Polish Piece"
author:
- name: Piotr Bański
- name: Nils Diewald
- name: Marc Kupietz
- name: Beata Trawiński
affiliation:
address: IDS Mannheim
column_numbers: 2
contact:
name: Piotr Bański
department: Digital Linguistics / Grammar
email: banski@ids-mannheim.de
website: "https://www.ids-mannheim.de/"
qrlink: >
`r posterdown::qrlink("https://korap.ids-mannheim.de/instance/nkjp1m-sgjp")`
output:
posterdown::posterdown_ids:
self_contained: false
keep_md: true
bibliography: references.bib
csl: "https://raw.githubusercontent.com/ICLC-10/Zotero/master/styles/ICLC-10.csl"
---
```{r setup, include=FALSE, echo=FALSE, message=FALSE, warning=FALSE}
knitr::opts_chunk$set(dev = 'svg', echo = FALSE, warning = FALSE)
source("common.R")
```
# Romanian
## CA in CoRoLa for »pune în NN« (= to put in NN)
```{r pune_in}
pune_in_ca_de = readRDS("pune_in_CA_de.rds")
pune_in_ca_de %>% show_simple_table(10)
```
# Plain collocation analysis
without restriction to NN/subst
## da(wa)?ć
```{r dac_simple, echo=TRUE}
collocationAnalysis(
nkjp,
'[nkjp/l="da(wa)?ć"]',
leftContextSize = 5,
rightContextSize = 5,
minOccur = 5
) %>%
show_simple_table()
```
# Identification of Light Verb Constructions
using collocation analysis
## da(wa)?ć
```{r dac, echo=TRUE}
collocationAnalysis(
nkjp,
'focus({[nkjp/l="da(wa)?ć"] []{,5}} [nkjp/p=subst])',
leftContextSize = 0,
rightContextSize = 1, # relative to { ... } in focus(),
minOccur = 5,
addExamples = TRUE
) %>%
show_table()
```
### (Z)robić
```{r robic, echo=TRUE}
collocationAnalysis(
nkjp,
'focus({[nkjp/l="z?robić"] []{,5}} [nkjp/p=subst])',
leftContextSize = 0,
rightContextSize = 1, # relative to { ... } in focus(),
minOccur = 5,
addExamples = TRUE
) %>%
show_table()
```
```{r brac, echo=TRUE}
collocationAnalysis(
nkjp,
'focus({[nkjp/l="brać" | nkjp/l="wziąć"] []{,5}} [nkjp/p=subst])',
leftContextSize = 0,
rightContextSize = 1, # relative to { ... } in focus(),
minOccur = 5,
addExamples = TRUE
) %>%
show_table()