Sökning: "Amharic"

Visar resultat 1 - 5 av 9 avhandlingar innehållade ordet Amharic.

  1. 1. Resource Lenient Approaches to Cross Language Information Retrieval : Using Amharic

    Författare :Atelach Alemu Argaw; Lars Asker; Jussi Karlgren; Douglas Oard; Stockholms universitet; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Cross language information retrieval; Amharic; stemming; MRD based query translation; transliteration; named entity detection; translation term selection; sense discrimination; POS tagging; Computer and systems science; Data- och systemvetenskap; Computer and Systems Sciences; data- och systemvetenskap;

    Sammanfattning : Information Retrieval (IR) deals with finding and presenting information from a collection of documents/data that are relevant to an information need (a query) expressed by a user. Cross Language Information Retrieval (CLIR) is a subfield of IR where queries are posed in a different language than that of the document collection. LÄS MER

  2. 2. The inceptive construction and associated topics in Amharic and related languages

    Författare :Desalegn Asfawwesen; Henrik Liljegren; Östen Dahl; Ronny Meyer; Stockholms universitet; []
    Nyckelord :HUMANITIES; HUMANIORA; HUMANIORA; HUMANITIES; inceptive construction; insubordination; conjunction; converb; complex predicate; grammaticalization; Amharic; Ethio-Semitic; Linguistics; lingvistik;

    Sammanfattning : This thesis investigates the syntactic features, functions, and diachrony of a complex predicate called ‘the inceptive construction’ which is based on a grammaticalised use of the converbs ‘get up’, ‘pick up’, ‘grasp’, and ‘take’. The languages under investigation are Amharic, Argobba, Harari, Zay, and Selt’i. LÄS MER

  3. 3. Multifont recognition System for Ethiopic Script

    Författare :Yaregal Assabie Lake; Josef Bigun; Högskolan i Halmstad; []
    Nyckelord :NATURAL SCIENCES; NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; Ethiopic character recognition; OCR; Multifont recognition; Amharic; Direction fields; Structural and syntactic pattern recognition; Image analysis; Bildanalys;

    Sammanfattning : In this thesis, we present a general framework for multi-font, multi-size and multi-style Ethiopic character recognition system. We propose structural and syntactic techniques for recognition of Ethiopic characters where the graphically comnplex characters are represented by less complex primitive structures and their spatial interrelationships. LÄS MER

  4. 4. The History of Standard Negation in Semitic

    Författare :Ambjörn Sjörs; Bo Isaksson; John Huehnergard; Geoffrey Khan; Uppsala universitet; []
    Nyckelord :HUMANITIES; HUMANIORA; HUMANIORA; HUMANITIES; negation; Semitic; linguistics; grammaticalization; diachrony; comparative; Akkadian; Assyrian; Babylonian; Ugaritic; Biblical Hebrew; Arabic; Phoenician; Aramaic; Sabaic; Minaic; Jibbali; Tigre; Tigrinya; Amharic; Harari; Gurage; Semitic Languages; Semitiska språk;

    Sammanfattning : This thesis provides a synchronic description of verbal negation in over fifteen Semitic languages and a historical assessment of these expressions. The objectives are to describe the expression of standard negation in these languages, to compare these negative clauses with their affirmative counterparts as well as  expressions of non-standard negation, and to relate historically the negative expressions of different languages. LÄS MER

  5. 5. Machine-Printed and Handwritten Ethiopic Script Recognition

    Författare :Yaregal Assabie; Chalmers University of Technology; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; HMM; Handwriting Recognition; OCR; Direction Field Tensor; Ethiopic Character Recognition; Amharic Word Recognition; Structure Tensor;

    Sammanfattning : A written language is represented by using machine-printed or handwritten symbols called characters. For automatic recognition of written languages, handwritten script can be captured offline (by a scanner) and online (by electronic digital devices), whereas machine-printed text is captured offline. LÄS MER