Identify Bilingual Patterns and Phrases from a Bilingual Sentence Pair
This paper presents a method for automatically identifying bilingual grammar patterns and extracting bilingual phrase instances from a given English-Chinese sentence pair. In our approach, the English-Chinese sentence pair is parsed to identify English grammar patterns and Chinese counterparts. The method involves generating translations of each English grammar pattern and calculating translation probability of words from a word-aligned parallel corpora. The results allow us to extract the most probable English-Chinese phrase pairs in the sentence pair. We present a prototype system that applies the method to extract grammar patterns and phrases in parallel sentences. An evaluation on randomly selected examples from a dictionary shows that our approach has reasonably good performance. We use human judge to assess the bilingual phrases generated by our approach. The results have potential to assist language learning and machine translation research.
Code (0)
등록된 구현이 없습니다.
Tasks
Machine TranslationSentenceTranslationSimilar Papers 제목 키워드 기반
Learning to Respond to Mixed-code Queries using Bilingual Word Embeddings
We present a method for learning bilingual word embeddings in order to support second language (L2) learners in finding recurring phrases and example sentences that match mixed-code queries (e.g., {``}接 受 sentence{''}) c…
SentenceTranslationWord EmbeddingsWord TranslationLearning to Find Translation of Grammar Patterns in Parallel Corpus
We introduce a method for assisting English as Second Language (ESL) learners by providing translations of Collins COBUILD grammar patterns(GP) for a given word. In our approach, bilingual parallel corpus is transformed …
TranslationMeasuring Semantic Abstraction of Multilingual NMT with Paraphrase Recognition and Generation Tasks
In this paper, we investigate whether multilingual neural translation models learn stronger semantic abstractions of sentences than bilingual ones. We test this hypotheses by measuring the perplexity of such models when …
DecoderNMTParaphrase GenerationTranslationEfficient Bilingual Generalization from Neural Transduction Grammar Induction
We introduce (1) a novel neural network structure for bilingual modeling of sentence pairs that allows efficient capturing of bilingual relationship via biconstituent composition, (2) the concept of neural network bipars…
Machine TranslationNMTSentenceTranslationEnriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings
The phrase table is considered to be the main bilingual resource for the phrase-based statistical machine translation (PBSMT) model. During translation, a source sentence is decomposed into several phrases. The best matc…
DecoderDocument ClassificationMachine TranslationSentence+2