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    Wyświetlanie 1-4 z 4
    Tytuł:
    Comparison and adaptation of automatic evaluation metrics for quality assessment of re-speaking
    Autorzy:
    Wołk, K.
    Korzinek, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/952950.pdf
    Data publikacji:
    2017
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    speech
    re-speaking
    machine translation
    evaluation
    Opis:
    Re-speaking is a mechanism for obtaining high-quality subtitles for use in live broadcasts and other public events. Because it relies on humans to perform the actual re-speaking, the task of estimating the quality of the results is non- trivial. Most organizations rely on human effort to perform the actual quality assessment, but purely automatic methods have been developed for other similar problems (like Machine Translation). This paper will try to compare several of these methods: BLEU, EBLEU, NIST, METEOR, METEOR-PL, TER, and RIBES. These will then be matched to the human-derived NER metric, commonly used in re-speaking. The purpose of this paper is to assess whether the above automatic metrics normally used for MT system evaluation can be used in lieu of the manual NER metric to evaluate re-speaking transcripts.
    Źródło:
    Computer Science; 2017, 18 (2); 129-144
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Noisy-parallel and comparable corpora filtering methodology for the extraction of bi-lingual equivalent data at sentence level
    Autorzy:
    Wołk, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/952937.pdf
    Data publikacji:
    2015
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    statistical machine translation
    NLP
    text filtering
    comparable corpora
    Opis:
    Text alignment and text quality are critical to the accuracy of Machine Translation (MT) systems, some NLP tools, and any other text processing tasks requiring bilingual data. This research proposes a language-independent bisentence filtering approach based on Polish (not a position-sensitive language) to English experiments. This cleaning approach was developed on the TED Talks corpus and also initially tested on the Wikipedia comparable corpus, but it can be used for any text domain or language pair. The proposed approach implements various heuristics for sentence comparison. Some of the heuristics leverage synonyms as well as semantic and structural analysis of text as additional information. Minimization of data loss has been? ensured. An improvement in MT system scores with text processed using this tool is discussed.
    Źródło:
    Computer Science; 2015, 16 (2); 169-184
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Knowledge graphs effectiveness in Neural Machine Translation improvement
    Autorzy:
    Ahmadnia, Benyamin
    Dorr, Bonnie J.
    Kordjamshidi, Parisa
    Powiązania:
    https://bibliotekanauki.pl/articles/1839251.pdf
    Data publikacji:
    2020
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    natural language processing
    neural machine translation
    knowledge graph representation
    Opis:
    Maintaining semantic relations between words during the translation process yields more accurate target-language output from Neural Machine Translation (NMT). Although difficult to achieve from training data alone, it is possible to leverage Knowledge Graphs (KGs) to retain source-language semantic relations in the corresponding target-language translation. The core idea is to use KG entity relations as embedding constraints to improve the mapping from source to target. This paper describes two embedding constraints, both of which employ Entity Linking (EL)—assigning a unique identity to entities—to associate words in training sentences with those in the KG: (1) a monolingual embedding constraint that supports an enhanced semantic representation of the source words through access to relations between entities in a KG; and (2) a bilingual embedding constraint that forces entity relations in the source-language to be carried over to the corresponding entities in the target-language translation. The method is evaluated for English-Spanish translation exploiting Freebase as a source of knowledge. Our experimental results demonstrate that exploiting KG information not only decreases the number of unknown words in the translation but also improves translation quality
    Źródło:
    Computer Science; 2020, 21 (3); 299-318
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    HiPHET : hybrid approach for translating code-mixed language (Hinglish) to pure languages (hindi and english)
    Autorzy:
    Attri, Shree Harsh
    Prasad, T. V.
    Ramakrishna, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/1839239.pdf
    Data publikacji:
    2020
    Wydawca:
    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
    Tematy:
    code-mixed language
    pure language
    Hinglish
    hybrid language
    machine translation
    HiPHET
    rule based MT
    Opis:
    Bilingual code-mixed (hybrid) languages have become very popular in India as a result of the spread of technology in the form of television, the Internet, and social media. Due to this increase in the use of code-mixed languages in day-to-day communication, the need for maintaining the integrity of the Indian languages has arisen. As a result of this, a tool named Hinglish to Pure Hindi and English Translator was developed. The tool is capable of translating in three ways; namely, Hinglish into pure Hindi and English, pure Hindi into pure English, and vice versa. The tool has achieved an accuracy of 91% in giving Hindi sentences and of 84% in giving English sentences as output when the input sentences were in Hinglish. The tool has also been compared with another similar tools.
    Źródło:
    Computer Science; 2020, 21 (3); 371-391
    1508-2806
    2300-7036
    Pojawia się w:
    Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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