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Pre-trained models to parse Latvian text using the STEPS dependency parser (https://github.com/boschresearch/steps-parser). {"references": ["Gr\u00fcnewald et al. (2021). https://arxiv.org/abs/2010.12699"]}

The dataset is an archive of reader comments from the Delfi news site from 2014-2019, containing approximately 12M comments, mostly in the Latvian language, with some in Russian. Description of the Datasets There are 6 CSV files: * ``lv-comments-2014.csv`` contains **2 753 655** comments from year 2014 * ``lv-comments-2015.csv`` contains **2 221 122** comments from year 2015 * ``lv-comments-2016.csv`` contains **1 897 669** comments from year 2016 * ``lv-comments-2017.csv`` contains **1 896 083** comments from year 2017 * ``lv-comments-2018.csv`` contains **2 222 051** comments from year 2018 * ``lv-comments-2019.csv`` contains **1 421 883** comments from year 2019 **In sum: 12 412 463 comments** Columns: * ``comment_id`` (string) - the ID of the written comment * ``article_id`` (string) - the ID of the article for which the comment was written * ``created_time`` (string) - the time and date of the comment * ``subject`` (string) - the title of the comment * ``reply_to_comment_id`` (string) - the parent comments ID * ``content`` (string) - the comment itself * ``is_anonymous`` (string) - * 1 if the comment was published anonymously * 0 if the comment was published by a registered user * ``is_enabled`` (string) - * 1 if the comment was published (online) * 0 if it wasn’t published * Questionable field: not all have been manually moderated * No additional information from the moderators * ``channel_language`` (string) - the language of the channel * 'nat' for Latvian * 'rus' for Russian * ``create_user_id`` (string) - the user ID of the commentator * ``modereted_by`` (string) - the ID of the moderator

This dataset is an archive of articles from the Delfi news site from 2015-2019, containing over 180,000 articles (c. 50% in Latvian and 50% in the Russian language). Keywords for articles are included. There are 5 JSON files: lv_2015.json contains 42 001 articles from the year 2015 lv_2016_.json contains 40 342 articles from the year 2016 lv_2017_.json contains 37 256 articles from the year 2017 lv_2018_.json contains 31 732 articles from the year 2018 lv_2019_.json contains 29 070 articles from the year 2019 In sum: 180 401 articles Description of the dataset This JSON file is a list of dictionaries, i.e. each article is represented as a dictionary. Each dictionary contains the following: id (integer) - the ID of the article title (string) - the title of the article lead (string) - the lead of the article tags [1] (list of dictionaries or None): each dictionary represents one tag. The tag dictionary contains the following: domain_id (string) - the ID of the domain id (string) - the ID of the tag lang (string) - the language of the tag tag (string) - the tag itself, e.g. Šokolāde translitted_name (string) - a modified version of the tag, e.g. sokolade rawBody (string) - the raw text of the article (contains HTML) bodyText (string) - clean article text (stripped from HTML) publishDate (string) - published date & time of the article categoryPrimary (dictionary or empty list) - the dictionary contains the following information: categoryId (integer) - the ID of the category categoryName (string)- the name of the category (e.g. Futbols) channelId (integer) - the ID of the channel groupId - None channelLanguage (string) - the language of the channel (nat - Latvian, rus - Russian) categoryLanguage (integer) - ID of the channel language relatedArticles (list of integers or None) - a list of related articles' ID's relatedTags(string or None) -- related tags are comma-separated

Previosusly it was thought that no picture of the first telescope installed at the Astronomical Tower of the University of Latvia was preserved. During thorough search at the Museum of the University of Latvia a single picture of the telescope was found. This video explains how the picture was found. Agrāk domāja, ka Latvijas Universitātes Astronomiskā torņa pirmā teleskopa fotogrāfija nav saglabājusies. Veicot rūpīgus meklējumus Latvijas Universitātes Muzejā, tika atrasta vienīgā teleskopa fotogrāfija. Video paskaidro, kā tā tika atrasta.

Tēzaurs.lv: An extensive dictionary and thesaurus of Latvian, comprising more than 320,000 lexical entries, including multi-word units. Compiled and edited based on more than 300 sources. Provides detailed morphological information; being extented into a Latvian WordNet.

Peer reviewed

The lifestory is a source for qualitative research. The most basic component of the collection is the written or recorded document of personal history, a short or lengthy story of a person's life and observations. National Oral History Project (Nacionālās mutvārdu vēstures projekts (NMV)) has been financed by the Science Council of Latvia (Latvijas Zinātnes Padome) since 1992. Its approach is multidisciplinary, employing sociological and philosophical theories in particular.

Semi-automatic corpus annotation tool for Latvian. Incorporates the SemTi-Kamols morphological analyzer and dependency chunker.

Latvian Text-to-Speech Synthesizer: a RESTful web service.

A Java library for morphological analysis of Latvian. The lexicon covers ~50 000 lemmas. A set of robust derivation rules is also used.