思考才皱眉 发表于 2025-3-23 13:43:16

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incubus 发表于 2025-3-23 14:51:54

Cross-Lingual Adaptation of Broadcast Transcription System to Polish Language Using Public Data Sour an unsupervised way. The developed system has been evaluated in the task of automatic content monitoring of major Polish TV and Radio stations. Its transcription accuracy (measured on a set of 4 complete TV news shows with total duration of 105 min) is 79,2%. For clean studio speech, its accuracy gets over 92%.

BAIT 发表于 2025-3-23 20:10:34

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暂时过来 发表于 2025-3-24 00:13:42

Similarity Measure for Polish Short Texts Based on Wordnet-Enhanced Bag-of-words Representationght positive results in one of the method variants, regardless of the limited accuracy of the WSD tool. The proposed measures have been compared with the manual evaluation of sentence pairs. The measures were also applied as a part of the Question Answering system. Improved performance of answer finding was achieved in several types of tests.

长处 发表于 2025-3-24 02:58:54

https://doi.org/10.1007/978-3-319-93782-3artificial intelligence; classification; computational linguistics; information extraction; information

永久 发表于 2025-3-24 10:05:20

SEJF - A Grammatical Lexicon of Polish Multiword Expressions 4,700 multiword lemmas assigned to 160 inflection graphs, and an extensional module with 88,000 automatically generated inflected forms annotated with grammatical tags. We show the results of its coverage evaluation against an annotated corpus. The resource is freely available under the Creative Commons BY-SA license.

Thrombolysis 发表于 2025-3-24 11:59:15

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sclera 发表于 2025-3-24 18:41:31

A Semantic Similarity Measurement Tool for WordNet-Like Databasese presented approach is the ability to implement similarity measures as concise expressions in the embedded query language. The preliminary results of the use of the framework to model the semantic similarity of Polish nouns are reported.

Vertebra 发表于 2025-3-24 20:08:20

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insightful 发表于 2025-3-25 00:02:16

978-3-319-93781-6Springer International Publishing AG, part of Springer Nature 2018
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查看完整版本: Titlebook: Human Language Technology. Challenges for Computer Science and Linguistics; 7th Language and Tec Zygmunt Vetulani,Joseph Mariani,Marek Kubi