Sökning: "Speech classification"

Visar resultat 1 - 5 av 84 uppsatser innehållade orden Speech classification.

1. 1. IDENTIFYING HATE SPEECH IN SOCIAL MEDIA THROUGH CONTENT AND SOCIAL CONNECTIONS ANALYSIS

   Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

   Författare :Milan Stanišić; [2023-06-19]
   Nyckelord :hate speech; social media; natural language processing; classification;

   Sammanfattning : Hate speech is a problem which puts its targets at risk of serious harm. It spreads fast and has a real influence on the society because of the ubiquity of the internet and social media, and so various research efforts have been put to find solutions to automatic hate speech detection. LÄS MER

3. 2. PRAGMATIC COMPETENCE: REFUSAL SPEECH ACT BY IRANIAN STUDENTS IN SWEDEN

   Magister-uppsats, Göteborgs universitet/Institutionen för språk och litteraturer

   Författare :Kazhal Shatery; [2023-04-19]
   Nyckelord :English; culture; speech act of refusal; pragmatic; pragmalinguistics and sociopragmatics; politeness theory; refusal strategies;

   Sammanfattning : Understanding cross-cultural differences plays a crucial role in communication and successful cross-cultural communications depends on various factors such as pragmalinguistics and sociopragmatics. Many researchers focus more on the aspect of pragmatics such as speech acts. The present study is a contrastive study of refusal speech act. LÄS MER

4. 3. How negation influences word order in languages : Automatic classification of word order preference in positive and negative transitive clauses

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Chen Lyu; [2023]
   Nyckelord :;

   Sammanfattning : In this work, we explore the possibility of using word alignment in parallel corpus to project language annotations such as Part-of-Speech tags and dependency relation from high-resource languages to low-resource languages. We use a parallel corpus of Bible translations, including 1,444 translations in 986 languages, and a well-developed parser is used to annotate source languages (English, French, German, and Czech). LÄS MER

5. 4. Identification and Classification of TTS Intelligibility Errors Using ASR : A Method for Automatic Evaluation of Speech Intelligibility

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Erik Henriksson; [2023]
   Nyckelord :Automatic Speech Recognition; Natural Language Processing; Speech Technology; Speech Quality Assessment; Text-To-Speech; Taligenkänning; Språkteknologi; Talkvalitetsbedömning; Talsyntes;

   Sammanfattning : In recent years, applications using synthesized speech have become more numerous and publicly available. As the area grows, so does the need for delivering high-quality, intelligible speech, and subsequently the need for effective methods of assessing the intelligibility of synthesized speech. LÄS MER

7. 5. Mitigating Unintended Bias in Toxic Comment Detection using Entropy-based Attention Regularization

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Fabio Camerota; [2023]
   Nyckelord :XLNet; BERT; Toxic Comment Classification; Entropy-based Attention Regularization; XLNet; BERT; Toxisk Kommentar Klassificering; Entropibaserad uppmärksamhetsreglering;

   Sammanfattning : The proliferation of hate speech is a growing challenge for social media platforms, as toxic online comments can have dangerous consequences also in real life. There is a need for tools that can automatically and reliably detect hateful comments, and deep learning models have proven effective in solving this issue. LÄS MER