• No results found

[PDF] Top 20 Cross lingual projection for class based language models

Has 10000 "Cross lingual projection for class based language models" found on our website. Below are the top 20 most common "Cross lingual projection for class based language models".

Cross lingual projection for class based language models

Cross lingual projection for class based language models

... all class-based systems outperform the baseline in WER on the NUMERIC test set, while performance on the VOICE-SEARCH test set was mostly ...larger cross-lingual data sets led to better ... See full document

6

Entity Projection via Machine-Translation for Cross-Lingual NER

Entity Projection via Machine-Translation for Cross-Lingual NER

... Baselines We compare against four other annota- tion projection approaches that have achieved state- of-the-art results on some of our datasets. Xie et al. (2018) (BWET) use a bilingual lexicon induced us- ing ... See full document

11

Bitext Name Tagging for Cross lingual Entity Annotation Projection

Bitext Name Tagging for Cross lingual Entity Annotation Projection

... From the result, it demonstrates that, in the case of low resource languages, annotations with word alignment results perform poorly on both precision and recall rate. So it is hard to improve the projection ... See full document

10

Cross lingual Model Transfer Using Feature Representation Projection

Cross lingual Model Transfer Using Feature Representation Projection

... annotation projection baseline implementa- tion is ...source language, but in our case this may give unfair advantage to feature representation projec- tion, which relies on target-side argument identifi- ... See full document

7

A Cross lingual Annotation Projection Approach for Relation Detection

A Cross lingual Annotation Projection Approach for Relation Detection

... For evaluating our approach, training instance sets to learn models were prepared for relation detection in Korean. The instances of the train- ing set (half of the manually built Korean RDC corpufs) were used to ... See full document

8

Rediscovering Annotation Projection for Cross Lingual Parser Induction

Rediscovering Annotation Projection for Cross Lingual Parser Induction

... one language to another. The main idea is to reduce the need of language-specific information, ...transfer models have been used for a variety of ...annotation projection approaches is that no ... See full document

11

Cross Lingual Identification of Ambiguous Discourse Connectives for Resource Poor Language

Cross Lingual Identification of Ambiguous Discourse Connectives for Resource Poor Language

... Discourse corpus annotation. For English, there are mainly two corpora: (1) RST Dis- course Treebank (RST-DT) (Carlson et al., 2001) following the RST (Mann and Thompson, 1988); (2) Penn Discourse Treebank (PDTB) ... See full document

10

Soft Cross lingual Syntax Projection for Dependency Parsing

Soft Cross lingual Syntax Projection for Dependency Parsing

... syntax projection. Syntax projection typically works as ...source- language treebank, called a source ...parsing models of target language. Previous work on syntax projection ... See full document

11

Cross Lingual Topical Relevance Models

Cross Lingual Topical Relevance Models

... for cross-lingual infor- mation retrieval (CLIR) which integrates query term disambiguation and expansion in a unified framework, to directly estimate a model of relevant documents in the target ... See full document

16

Cross lingual Annotation Projection Is Effective for Neural Part of Speech Tagging

Cross lingual Annotation Projection Is Effective for Neural Part of Speech Tagging

... natural language processing, including the POS-tagging task (Wang et ...tagging models (Ratnaparkhi, 1996) or conditional random fields (Lafferty et ... See full document

11

Accurate Cross lingual Projection between Count based Word Vectors by Exploiting Translatable Context Pairs

Accurate Cross lingual Projection between Count based Word Vectors by Exploiting Translatable Context Pairs

... source language to the corresponding dimension in a word vector in the target language, refer- ring to the bilingual pairs in the training data (Fung, ...target language, as in (Prochasson et ... See full document

5

Cross lingual Projections between Languages from Different Families

Cross lingual Projections between Languages from Different Families

... In (T¨ackstr¨om et al., 2012), Brown clusters trained on the source side were projected to the target side based on word alignments. Rather than building a same feature space for both the source language ... See full document

6

Probabilistic Models of Cross Lingual Semantic Similarity in Context Based on Latent Cross Lingual Concepts Induced from Comparable Data

Probabilistic Models of Cross Lingual Semantic Similarity in Context Based on Latent Cross Lingual Concepts Induced from Comparable Data

... CLSS models is a key resource in the models of dictionary-based cross-lingual in- formation retrieval (Ballesteros and Croft, 1997; Lavrenko et ...in cross-lingual IR ... See full document

14

It disambiguation and source aware language models for cross lingual pronoun prediction

It disambiguation and source aware language models for cross lingual pronoun prediction

... The pronoun prediction part of our models is based on an n-gram model over target lemmas similar to the official shared task baseline. In ad- dition to the pure target lemma context, our model also has ... See full document

8

Notes on the Evaluation of Dependency Parsers Obtained Through Cross Lingual Projection

Notes on the Evaluation of Dependency Parsers Obtained Through Cross Lingual Projection

... a projection- based framework for dependency parsing in which annotations for a source lan- guage are transfered to a target language using word alignments in a parallel cor- ...such ... See full document

9

Experiments with Universal CEFR Classification

Experiments with Universal CEFR Classification

... describe language proficiency of learners on a scale of 6 lev- ...monolingual, cross-lingual, and multilingual classification with three languages: German, Czech, and ...multilingual models ... See full document

7

Polyglot Neural Language Models: A Case Study in Cross Lingual Phonetic Representation Learning

Polyglot Neural Language Models: A Case Study in Cross Lingual Phonetic Representation Learning

... existing language model (LM) architec- tures are designed to model one language at a ...count-based models in which every sur- face form of a word is a separately modeled entity (English cat ... See full document

10

Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings

Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings

... another cross- lingual embedding collection (Conneau et ...comparing cross-lingual embedding models which suggests that the actual choice of monolin- gual and bilingual signal is more ... See full document

6

Annotation Projection based Representation Learning for Cross lingual Dependency Parsing

Annotation Projection based Representation Learning for Cross lingual Dependency Parsing

... each language, the original dataset contains a training set and a test ...eight cross-lingual de- pendency parsing tasks, by using English as the label-rich source language and using each of ... See full document

10

How to (Properly) Evaluate Cross Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

How to (Properly) Evaluate Cross Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions

... tate cross-lingual transfer of NLP ...popular projection-based CLE mod- els are almost exclusively evaluated on bilin- gual lexicon induction ...CLE models: we thoroughly eval- uate ... See full document

12

Show all 10000 documents...