| --- |
| title: "News from the International Comparable Corpus" |
| subtitle: "First launch of ICC written" |
| date: "`r Sys.Date()`" |
| author: |
| - name: Marc Kupietz |
| affil: 1 |
| - name: Adrien Barbaresi |
| affil: 2 |
| - name: Anna Čermáková |
| affil: 3 |
| - name: Małgorzata Czachor |
| affil: 4 |
| - name: Nils Diewald |
| affil: 1 |
| - name: Jarle Ebeling |
| affil: 5 |
| - name: Rafał L. Górski |
| affil: 4 |
| - name: John Kirk |
| affil: 6 |
| - name: Michal Křen |
| affil: 3 |
| - name: Harald Lüngen |
| affil: 1 |
| - name: Eliza Margaretha |
| affil: 1 |
| - name: Signe Oksefjell Ebeling |
| affil: 5 |
| - name: Mícheál Ó Meachair |
| affil: 7 |
| - name: Ines Pisetta |
| affil: 1 |
| - name: Elaine Uí Dhonnchadha |
| affil: 8 |
| - name: Friedemann Vogel |
| affil: 9 |
| - name: Rebecca Wilm |
| affil: 1 |
| - name: Jiajin Xu |
| affil: 10 |
| - name: Rameela Yaddehige |
| affil: 1 |
| affiliation: |
| - num: 1 |
| address: IDS Mannheim |
| - num: 2 |
| address: BBAW Berlin |
| - num: 3 |
| address: Charles University |
| - num: 4 |
| address: Polish Academy of Sciences |
| - num: 5 |
| address: University of Oslo |
| - num: 6 |
| address: University of Vienna |
| - num: 7 |
| address: Dublin City University |
| - num: 8 |
| address: Trinity College Dublin |
| - num: 9 |
| address: University of Siegen |
| - num: 10 |
| address: Beijing Foreign Studies University |
| |
| |
| logoleft_name: "../Figures/ICC_COL.svg" |
| author_textsize: "32pt" |
| |
| contact: |
| email: icc@ids-manneim.de |
| website: https://www.ids-mannheim.de/digspra/kl |
| qrlink: > |
| `r posterdown::qrlink("https://korap.ids-mannheim.de/instance/icc", "icc-logo-whitebg.svg")` |
| |
| output: |
| posterdown::posterdown_ids: |
| self_contained: false |
| keep_md: true |
| |
| bibliography: ../tex/references.bib |
| csl: "https://raw.githubusercontent.com/ICLC-10/Zotero/master/styles/ICLC-10.csl" |
| --- |
| |
| ```{r setup, include=FALSE, echo=FALSE, warning=FALSE} |
| knitr::opts_chunk$set(dev = 'svg', echo = FALSE, warnings = FALSE) |
| source("common.R") |
| ``` |
| # ICC aims & charcteristics |
| |
| * make available comparable corpora of many languages for contrastive linguistic research [@kirk_ice_2017] |
| * mostly based on existing corpora |
| * ICC has a pre-defined “balanced” composition |
| * based on the one of the ICE [@greenbaum_comparing_1996] |
| |
| # Current launch of ICC written |
| |
| * written parts for Chinese, Czech, English, German, Irish (partly), Norwegian publicly available |
| * partially including UDPipe 2.0 annotations [@straka_udpipe_2018] |
| * via Corpus Workbench or KorAP [@diewald_korap_2016] |
| |
| ![](korap_query.png) |
| |
| ## Composition of the ICC parts |
| |
| ```{r composition-by-genre, fig.cap="Actual composition of selected ICC parts with respect to ICC domain. (For the other ICC parts, the ICC genre metadatum was not yet accessible via the API at the editorial deadline.)", message = FALSE, fig.width=14, fig.height=10, out.width = "100%"} |
| icc_genre <- icc %>% |
| expand_grid(genre) %>% |
| mutate(vc = paste0("iccGenre=", genre)) %>% |
| rowwise() %>% |
| mutate(tokens= corpusStats(icc_con(lang, token), vc = vc)@tokens) |
| |
| icc_genre %>% ggplot(aes(x=lang, fill=genre, y=tokens)) + |
| geom_col() + scale_y_continuous(labels = label_number(scale_cut = cut_short_scale())) + |
| theme_ids(base_size = 24) + |
| theme( |
| axis.title.x = element_text(size = rel(1.5), face = "bold"), |
| axis.title.y = element_text(size = rel(1.5), face = "bold"), |
| axis.text = element_text(size = rel(0.70)), |
| legend.title = element_text(size = rel(0.85), face = "bold"), |
| legend.text = element_text(size = rel(1))) + |
| scale_fill_ids() + |
| geom_text(aes(label=if_else(tokens > 0, as.character(tokens), ""), y=tokens), position= position_stack(reverse = F, vjust = 0.5), color="black", size=6.2, family="Fira Sans Condensed") |
| |
| ``` |
| |
| |
| ```{r composition-by-pubdate, fig.cap="Composition of the selected ICC parts with respect to year of publication.", message=F, warning=F, fig.width=14, fig.height=3, out.width = "80%"} |
| year <- c(1986:2023) |
| |
| icc_year <- icc %>% |
| expand_grid(year) %>% |
| mutate(vc = paste0("pubDate in ", year)) %>% |
| rowwise() %>% |
| mutate(tokens= corpusStats(icc_con(lang, token), vc = vc)@tokens) |
| |
| icc_year %>% ggplot(aes(x=year, fill=lang, color=lang, y=tokens)) + |
| # geom_smooth(se=F, span=0.25) + |
| xlim(1990, 2023) + |
| ylim(0, NA) + |
| stat_smooth( |
| geom = 'area', method = 'loess', span = 1/4, |
| alpha = 0.1) + |
| # geom_area(alpha=0.1, position = "identity") + |
| scale_fill_ids() + scale_colour_ids() + |
| scale_y_continuous(labels = label_number(scale_cut = cut_short_scale())) + |
| theme_ids(base_size=24) + |
| theme( |
| axis.title.x = element_text(size = rel(1.5), face = "bold"), |
| axis.title.y = element_text(size = rel(1.5), face = "bold"), |
| axis.text = element_text(size = rel(1)), |
| legend.title = element_text(size = rel(1), face = "bold"), |
| legend.text = element_text(size = rel(1))) |
| ``` |
| |
| |
| # Pilot study |
| |
| * Identification of Light Verb Constructions with *take* |
| * in order to investigate the limitations imposed by the very small corpus sizes |
| * using RKorapClient [@kupietz_rkorapclient_2020] to access corpora and get reproducible results of the collocation analysis |
| |
| |
| ```{r take-icc, echo=TRUE, fig.cap="Collocation analysis of *take* using the RKorAPClient package for R"} |
| take_ca_icc <- |
| collocationAnalysis( |
| icc_con("eng"), |
| "focus({[ud/l=take]} [ud/p=NOUN])", |
| leftContextSize = 0, |
| rightContextSize = 1, |
| minOccur = 2, |
| addExamples = T |
| ) |
| |
| take_ca_icc %>% show_table() |
| ``` |
| |
| ## Results |
| |
| * for English the query for *take* + NOUN (as direct right neighbour) yields 10 different pairs with a minimum frequency of 2 (see Figure \@ref(fig:take-icc)) |
| * based English Wikipedia (2015) the query yields 139 pairs (log-dice-threshold: 2.0) with about 20 false positives |
| * for ICC German with DeReKo as background corpus, the ratio of true positive LVCs is 10/80 |
| |
| # Summary & Outlook |
| |
| * we have made available corpora of 4+ languages available for contrastive research |
| * however, even with quite frequent phenomena, the results on the small corpora are to be used with caution |
| * typically they need to be verified on larger monolingual corpora |
| * the uniform acces is in any case helpful for contrastive studies |
| * ICC also serves as a crystallization point for larger corpora and complementary approaches such as EuReCo |
| |
| # References |
| |
| |