Titlebook: Statistical Language and Speech Processing; 9th International Co Luis Espinosa-Anke,Carlos Martín-Vide,Irena Spasi? Conference proceedings

假裝是我

OMIT

Improving German Image Captions Using Machine Translation and Transfer Learninguage processing. In addition, most of the work in this domain addresses the English language because of the high availability of annotated training data compared to other languages. Therefore, we investigate methods for image captioning in German that transfer knowledge from English training data. W

羅盤

Automatic News Article Generation from?Legislative Proceedings: A?Phenom-Based Approachts, weather, financial reporting and similar domains with highly structured, well defined tabular data sources. Other domains such as local reporting have not seen adoption of algorithmic journalism, and thus no automated reporting systems are available in these categories which can have important i

喚醒

含糊其辭

HUMID

Robustness of Named Entity Recognition: Case of LatvianHowever, when the NER model faces ungrammatical text, it often shows poor performance. In this study, we analyze NER performance on datasets containing errors typical for user-generated texts in the Latvian language. We explore three different strategies to increase the robustness of the named entit

廣告

Use of Speaker Metadata for Improving Automatic Pronunciation Assessmentr is able to replicate said reference is decided by an assessor who perceives the identity of the sounds produced. It is known that the assessor has a bias caused by the perception of the speaker, hence the definition of a standard for L2 pronunciation is crucial in a formal assessment. In Computer

Morsel

Augmenting ASR for User-Generated Videos with Semi-supervised Training and Acoustic Model Adaptationiverse user-generated videos in the task of spoken content retrieval (SCR). Previous work has successfully applied semi-supervised training in single domain ASR tasks. Our focus is on the exploration of the effective use of semi-supervised training of ASR systems for transcription of the spoken cont

召集

沙漠