The Italic languages form a branch of the Indo-European language family, whose earliest known members were spoken on the Italian Peninsula in the first millennium BC. The most important of the ancient languages was Latin, the official language of ancient Rome, which conquered the other Italic peoples before the common era. The other Italic languages became extinct in the first centuries AD as their speakers were assimilated into the Roman Empire and shifted to some form of Latin. Between the third and eighth centuries AD, Vulgar Latin (perhaps influenced by language shift from the other Italic languages) diversified into the Romance languages, which are the only Italic languages natively spoken today, while Literary Latin also survived.
Besides Latin, the known ancient Italic languages are Faliscan (the closest to Latin), Umbrian and Oscan (or Osco-Umbrian), and South Picene. Other Indo-European languages once spoken in the peninsula whose inclusion in the Italic branch is disputed are Venetic and Siculian. These long-extinct languages are known only from inscriptions in archaeological finds.
In the first millennium BC, several (other) non-Italic languages were spoken in the peninsula, including members of other branches of Indo-European (such as Celtic and Greek) as well as at least one non-Indo-European one, Etruscan.
It is generally believed that those 1st millennium Italic languages descend from Indo-European languages brought by migrants to the peninsula sometime in the 2nd millennium BC. However, the source of those migrations and the history of the languages in the peninsula are still a matter of debate among historians. In particular, it is debated whether the ancient Italic languages all descended from a single Proto-Italic language after its arrival in the region, or whether the migrants brought two or more Indo-European languages that were only distantly related.
With over 800 million native speakers, the Romance languages make Italic the second-most-widely spoken branch of the Indo-European family, after Indo-Iranian.
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The Romance languages, sometimes referred to as Latin languages or Neo-Latin languages, are numerous modern languages that evolved from Late Latin and its spoken form, often called Vulgar Latin. They are the only extant subgroup of the Italic languages branch of the Indo-European language family. The five most widely spoken Romance languages by number of native speakers are Spanish (489 million), Portuguese (283 million), French (80 million), Italian (67 million) and Romanian (24 million), which are all national languages of their respective countries of origin.
Latin (lingua Latīna ˈlɪŋɡwa ɫaˈtiːna or Latīnum ɫaˈtiːnʊ̃) is a classical language belonging to the Italic branch of the Indo-European languages. Latin was originally a dialect spoken in Latium (also known as Lazio), the lower Tiber area around present-day Rome, but through the power of the Roman Republic it became the dominant language in the Italian region and subsequently throughout the Roman Empire.
The Indo-European languages are a language family native to the overwhelming majority of Europe, the Iranian plateau, and the northern Indian subcontinent. Some European languages of this family—English, French, Portuguese, Russian, Dutch, and Spanish—have expanded through colonialism in the modern period and are now spoken across several continents. The Indo-European family is divided into several branches or sub-families, of which there are eight groups with languages still alive today: Albanian, Armenian, Balto-Slavic, Celtic, Germanic, Hellenic, Indo-Iranian, and Italic; and another nine subdivisions that are now extinct.
Language detection is a key part of the NLP pipeline for text processing. The task of automatically detecting languages belonging to disjoint groups is relatively easy. It is considerably challenging to detect languages that have similar origins or dialect ...
CEUR Workshop Proceedings2020
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This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...
This paper investigates the use of a hierarchy of Neural Networks for performing data driven feature extraction. Two different hierarchical structures based on long and short temporal context are considered. Features are tested on two different LVCSR syste ...