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The collection consists of: Thirty million words of monolingual written data (Gujarati, Tamil, Hindi, Punjabi-news website articles); 600,000 words of monolingual spoken data (Hindi, Urdu, Punjabi, Bengali, Gujarati-radio broadcasts); 120,000 words of parallel data in each of English, Hindi, Urdu, Punjabi, Bengali and Gujarati (U.K. government leaflets).

This article discusses the "Critical period" in language acquisition – based on the theory that children are born with the natural ability to learn language; an ability that gradually fades or disappears. According to this theory, children who are not privy to normal language stimulation during childhood miss their chance to acquire a language "perfectly".Critical periods do not only exist in language, e.g. children and other young animals need to receive visual stimulation for their vision to develop. The beginning of this article considers difference in opportunities for research, and thereby the state of knowledge concerning the critical period in vision, compared to language acquisition. The difference is based mainly on two factors: on the one hand, animals have been studied to elucidate the critical period in vision – an option that linguists do not have – and, on the other, it is quite common for children to lack visual stimulation, i.e. due to cataracts. It is less common for children to grow up without language stimulation, although stories exist of children that, for one reason or another, were deprived of human interaction during childhood. The author uses this opportunity to provide an account of two such stories, in a more detailed fashion than would be necessary to define the critical period in language acquisition. These are also stories of violence and questionable work methods for the sake of science. This is followed by a discussion of deaf children as, in the past – as well as the present day – it was common for them not to receive appropriate language stimulation from the beginning, i.e. via the use of sign language. The examples are so many that late language acquisition by deaf children can shed light on the critical period in language acquisition.Many have discussed the critical period in language acquisition but emphasis is often placed on that which has remained unlearned. This article asks rather what can be learned and whether language structure can be established despite a late start for the language acquisition process.

On the usage of Tamil language in different scenarios in Tamil Nadu

The Icelandic-English parallel corpus MaCoCu-is-en 1.0 was built by crawling the ".is" internet top-level domain in 2021, extending the crawl dynamically to other domains as well. All the crawling process was carried out by the MaCoCu crawler (https://github.com/macocu/MaCoCu-crawler). Websites containing documents in both target languages were identified and processed using the tool Bitextor (https://github.com/bitextor/bitextor). Considerable efforts were devoted into cleaning the extracted text to provide a high-quality parallel corpus. This was achieved by removing boilerplate and near-duplicated paragraphs and documents that are not in one of the targeted languages. Document and segment alignment as implemented in Bitextor were carried out, and BicleanerAI (https://github.com/bitextor/bicleaner-ai) and Bifixer (https://github.com/bitextor/bifixer) were used for fixing, cleaning, and deduplicating the final version of the corpus. While the TXT format consists solely of pairs of source and target segments (one or several sentences), each segment pair in the TMX format is accompanied by the following metadata: - source and target document URL; - quality score as provided by the tool BicleanerAI; - translation direction identification: the source segment in each segment pair was identified by using a probabilistic model; - personal information identification ("biroamer-entities"): segments containing personal information are flagged, so final users of the corpus can decide whether to use these segments; - language variants: the language variant of English (British or American) was identified for every segment pair on document and domain level. Notice and take down: Should you consider that our data contains material that is owned by you and should therefore not be reproduced here, please: (1) Clearly identify yourself, with detailed contact data such as an address, telephone number or email address at which you can be contacted. (2) Clearly identify the copyrighted work claimed to be infringed. (3) Clearly identify the material that is claimed to be infringing and information reasonably sufficient in order to allow us to locate the material. (4) Please write to the contact person for this resource whose email is available in the full item record. We will comply with legitimate requests by removing the affected sources from the next release of the corpus. This action has received funding from the European Union's Connecting Europe Facility 2014-2020 - CEF Telecom, under Grant Agreement No. INEA/CEF/ICT/A2020/2278341. This communication reflects only the author's view. The Agency is not responsible for any use that may be made of the information it contains.

This paper discusses the history of the nouns gleðimaður, which is known from Old as well as Modern icelandic, and gleðikona which first occurs in an 18th-century source. Other nominal compounds for men and women that have gleði- as their first member are also introduced. The meaning of these words is compared, as is their usage, in order to test the claim that the words for men normally have a neutral meaning ('cheerful man, party animal') but the words for women have a pejorative meaning ('hussy, prostitute'). The nature of the changes in the history of the gleði-compounds is also discussed, e.g., to what extent borrowing from a foreign language has taken place. Lars-Gunnar Andersson's categorization of the so-called "ugliness" of words is used for a more detailed definition of the semantic changes. Finally, we touch on the wish to reclaim the word gleðikona that has been observed in the last decades, i.e., to revive the practically forgotten meaning 'cheerful woman, female party animal'.

In the Icelandic traditional ballads from medieval and post-medieval times, wo-men and their voices are very prominent, while stories of male heroes were rather portrayed in rímur. The language is very unusual and shows signs of translation, formulas are frequently used, and the mode of narration is objective and clear. Love is a common subject, and so is violence, often gender-based and sexual. In the article the background of these ballads is discussed shortly and their emergence in Icelandic oral culture and later its literature, as they were recorded by educated men, from nameless sources, most probably women. Seven ballads are then used to show different aspects of violence within the genre. All are highly dramatic, and their subject is harsh: hardship, rape, birth and loss of children, and sometimes the victims take things into their own hands and avenge in a graphic way. How ballads that tell such terrible tales, can have been sung and danced to at joyous gatherings, is an interesting food for thought. It will be reasoned that these ballads have primarily been sung by women, and they can even have been a consolation and a tool to deal with gender-based violence in their own lives.

Should the progress in the biological sciences during the last decades give rise to a re-evaluation of literary analysis? The paper opens with a discussion of this question with reference to a fragment of Dagur Sigurðarson's poem "Takk takk Tobbi", pub-lished in Rógmálmur og grásilfur (1971). The question is answered partly affirmative-ly, mostly on the grounds that embodied cognition has to be taken into account when analysing literature. It is pointed out that among the factors that have contributed to a better understanding of the complex relation between the body and language is recent research on Tourette syndrome. The relationship between this neurological disorder and poetry is the main subject of the paper and it is discussed with refer-ence to a scaldic strophe from The Saga of Gisli Sursson. First, Tourette-syndrome is discussed briefly, including the medical profession's stance toward it during the 19thand 20th century and scholarly work on the common traits that the disorder shares with poetry. Subsequently it is considered how these writings can benefit literary scholarship, Gisli Sursson's strophe is analysed and it is proposed that this analysis can't rely on metrical rules alone. Then the aforementioned poem by Dagur Sig-urðarson is reconsidered, and finally a few points are recapitulated.

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1388. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (from November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1432. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.1 release of the data and scripts available at the GitHub repository of the ParlaMint project. As opposed to the previous version 2.0, this version corrects some errors in various corpora and adds the information on upper / lower house for bicameral parliaments. The vertical files have also been changed to make them easier to use in the concordancers.